Abu Dhabi University

Drawing upon new institutional theory, we developed and tested a model on how digital transformational leadership and organizational agility influence digital transformation with digital strategy as a moderator. We found that digital transformational leadership and organizational agility positively influence digital transformation, and digital transformational leadership influences organizational agility. The finding of our study also indicates organizational agility to mediate the relationship between digital transformational leadership and digital transformation. Our findings offer an advanced understanding of the impact of transformational leadership and organizational agility on digital transformation and the role of digital strategy. Our study's findings address critical questions about how leadership style and promoting organizational agility in the public sector can enhance digital transformation.

BACKGROUND: For more than three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has provided a framework to quantify health loss due to diseases, injuries, and associated risk factors. This paper presents GBD 2023 findings on disease and injury burden and risk-attributable health loss, offering a global audit of the state of world health to inform public health priorities. This work captures the evolving landscape of health metrics across age groups, sexes, and locations, while reflecting on the remaining post-COVID-19 challenges to achieving our collective global health ambitions. METHODS: The GBD 2023 combined analysis estimated years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 375 diseases and injuries, and risk-attributable burden associated with 88 modifiable risk factors. Of the more than 310 000 total data sources used for all GBD 2023 (about 30% of which were new to this estimation round), more than 120 000 sources were used for estimation of disease and injury burden and 59 000 for risk factor estimation, and included vital registration systems, surveys, disease registries, and published scientific literature. Data were analysed using previously established modelling approaches, such as disease modelling meta-regression version 2.1 (DisMod-MR 2.1) and comparative risk assessment methods. Diseases and injuries were categorised into four levels on the basis of the established GBD cause hierarchy, as were risk factors using the GBD risk hierarchy. Estimates stratified by age, sex, location, and year from 1990 to 2023 were focused on disease-specific time trends over the 2010-23 period and presented as counts (to three significant figures) and age-standardised rates per 100 000 person-years (to one decimal place). For each measure, 95% uncertainty intervals [UIs] were calculated with the 2·5th and 97·5th percentile ordered values from a 250-draw distribution. FINDINGS: Total numbers of global DALYs grew 6·1% (95% UI 4·0-8·1), from 2·64 billion (2·46-2·86) in 2010 to 2·80 billion (2·57-3·08) in 2023, but age-standardised DALY rates, which account for population growth and ageing, decreased by 12·6% (11·0-14·1), revealing large long-term health improvements. Non-communicable diseases (NCDs) contributed 1·45 billion (1·31-1·61) global DALYs in 2010, increasing to 1·80 billion (1·63-2·03) in 2023, alongside a concurrent 4·1% (1·9-6·3) reduction in age-standardised rates. Based on DALY counts, the leading level 3 NCDs in 2023 were ischaemic heart disease (193 million [176-209] DALYs), stroke (157 million [141-172]), and diabetes (90·2 million [75·2-107]), with the largest increases in age-standardised rates since 2010 occurring for anxiety disorders (62·8% [34·0-107·5]), depressive disorders (26·3% [11·6-42·9]), and diabetes (14·9% [7·5-25·6]). Remarkable health gains were made for communicable, maternal, neonatal, and nutritional (CMNN) diseases, with DALYs falling from 874 million (837-917) in 2010 to 681 million (642-736) in 2023, and a 25·8% (22·6-28·7) reduction in age-standardised DALY rates. During the COVID-19 pandemic, DALYs due to CMNN diseases rose but returned to pre-pandemic levels by 2023. From 2010 to 2023, decreases in age-standardised rates for CMNN diseases were led by rate decreases of 49·1% (32·7-61·0) for diarrhoeal diseases, 42·9% (38·0-48·0) for HIV/AIDS, and 42·2% (23·6-56·6) for tuberculosis. Neonatal disorders and lower respiratory infections remained the leading level 3 CMNN causes globally in 2023, although both showed notable rate decreases from 2010, declining by 16·5% (10·6-22·0) and 24·8% (7·4-36·7), respectively. Injury-related age-standardised DALY rates decreased by 15·6% (10·7-19·8) over the same period. Differences in burden due to NCDs, CMNN diseases, and injuries persisted across age, sex, time, and location. Based on our risk analysis, nearly 50% (1·27 billion [1·18-1·38]) of the roughly 2·80 billion total global DALYs in 2023 were attributable to the 88 risk factors analysed in GBD. Globally, the five level 3 risk factors contributing the highest proportion of risk-attributable DALYs were high systolic blood pressure (SBP), particulate matter pollution, high fasting plasma glucose (FPG), smoking, and low birthweight and short gestation-with high SBP accounting for 8·4% (6·9-10·0) of total DALYs. Of the three overarching level 1 GBD risk factor categories-behavioural, metabolic, and environmental and occupational-risk-attributable DALYs rose between 2010 and 2023 only for metabolic risks, increasing by 30·7% (24·8-37·3); however, age-standardised DALY rates attributable to metabolic risks decreased by 6·7% (2·0-11·0) over the same period. For all but three of the 25 leading level 3 risk factors, age-standardised rates dropped between 2010 and 2023-eg, declining by 54·4% (38·7-65·3) for unsafe sanitation, 50·5% (33·3-63·1) for unsafe water source, and 45·2% (25·6-72·0) for no access to handwashing facility, and by 44·9% (37·3-53·5) for child growth failure. The three leading level 3 risk factors for which age-standardised attributable DALY rates rose were high BMI (10·5% [0·1 to 20·9]), drug use (8·4% [2·6 to 15·3]), and high FPG (6·2% [-2·7 to 15·6]; non-significant). INTERPRETATION: Our findings underscore the complex and dynamic nature of global health challenges. Since 2010, there have been large decreases in burden due to CMNN diseases and many environmental and behavioural risk factors, juxtaposed with sizeable increases in DALYs attributable to metabolic risk factors and NCDs in growing and ageing populations. This long-observed consequence of the global epidemiological transition was only temporarily interrupted by the COVID-19 pandemic. The substantially decreasing CMNN disease burden, despite the 2008 global financial crisis and pandemic-related disruptions, is one of the greatest collective public health successes known. However, these achievements are at risk of being reversed due to major cuts to development assistance for health globally, the effects of which will hit low-income countries with high burden the hardest. Without sustained investment in evidence-based interventions and policies, progress could stall or reverse, leading to widespread human costs and geopolitical instability. Moreover, the rising NCD burden necessitates intensified efforts to mitigate exposure to leading risk factors-eg, air pollution, smoking, and metabolic risks, such as high SBP, BMI, and FPG-including policies that promote food security, healthier diets, physical activity, and equitable and expanded access to potential treatments, such as GLP-1 receptor agonists. Decisive, coordinated action is needed to address long-standing yet growing health challenges, including depressive and anxiety disorders. Yet this can be only part of the solution. Our response to the NCD syndemic-the complex interaction of multiple health risks, social determinants, and systemic challenges-will define the future landscape of global health. To ensure human wellbeing, economic stability, and social equity, global action to sustain and advance health gains must prioritise reducing disparities by addressing socioeconomic and demographic determinants, ensuring equitable health-care access, tackling malnutrition, strengthening health systems, and improving vaccination coverage. We live in times of great opportunity. FUNDING: Gates Foundation and Bloomberg Philanthropies.

Extending the Technology Acceptance Model (TAM) for studying the e-learning acceptance is not a new research topic, and it has been tackled by many scholars. However, the development of a comprehensive TAM that could be able to examine the e-learning acceptance under any circumstances is regarded to be an essential research direction. To identify the most widely used external factors of the TAM concerning the e-learning acceptance, a literature review comprising of 120 significant published studies from the last twelve years was conducted. The review analysis indicated that computer self-efficacy, subjective/social norm, perceived enjoyment, system quality, information quality, content quality, accessibility, and computer playfulness were the most common external factors of TAM. Accordingly, the TAM has been extended by the aforementioned factors to examine the students' acceptance of e-learning in five different universities in the United Arab of Emirates (UAE). A total of 435 students participated in the study. The results indicated that system quality, computer self-efficacy, and computer playfulness have a significant impact on perceived ease of use of e-learning system. Furthermore, information quality, perceived enjoyment, and accessibility were found to have a positive influence on perceived ease of use and perceived usefulness of e-learning system.

This paper presents an analysis of the literature concerning the impact of corporate sustainability on corporate financial performance. The relationship between corporate sustainable practices and financial performance has received growing attention in research, yet a consensus remains elusive. This paper identifies developing trends and the issues that hinder conclusive consensus on that relationship. We used content analysis to examine the literature and establish the current state of research. A total of 132 papers from top-tier journals are shortlisted. We find that 78% of publications report a positive relationship between corporate sustainability and financial performance. Variations in research methodology and measurement of variables lead to the divergent views on the relationship. Furthermore, literature is slowly replacing total sustainability with narrower corporate social responsibility (CSR), which is dominated by the social dimension of sustainability, while encompassing little to nothing of environmental and economic dimensions. Studies from developing countries remain scarce. More research is needed to facilitate convergence in the understanding of the relationship between corporate sustainable practices and financial performance.

BACKGROUND: Timely and comprehensive analyses of causes of death stratified by age, sex, and location are essential for shaping effective health policies aimed at reducing global mortality. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2023 provides cause-specific mortality estimates measured in counts, rates, and years of life lost (YLLs). GBD 2023 aimed to enhance our understanding of the relationship between age and cause of death by quantifying the probability of dying before age 70 years (70q0) and the mean age at death by cause and sex. This study enables comparisons of the impact of causes of death over time, offering a deeper understanding of how these causes affect global populations. METHODS: GBD 2023 produced estimates for 292 causes of death disaggregated by age-sex-location-year in 204 countries and territories and 660 subnational locations for each year from 1990 until 2023. We used a modelling tool developed for GBD, the Cause of Death Ensemble model (CODEm), to estimate cause-specific death rates for most causes. We computed YLLs as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. Probability of death was calculated as the chance of dying from a given cause in a specific age period, for a specific population. Mean age at death was calculated by first assigning the midpoint age of each age group for every death, followed by computing the mean of all midpoint ages across all deaths attributed to a given cause. We used GBD death estimates to calculate the observed mean age at death and to model the expected mean age across causes, sexes, years, and locations. The expected mean age reflects the expected mean age at death for individuals within a population, based on global mortality rates and the population's age structure. Comparatively, the observed mean age represents the actual mean age at death, influenced by all factors unique to a location-specific population, including its age structure. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 250-draw distribution for each metric. Findings are reported as counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2023 include a correction for the misclassification of deaths due to COVID-19, updates to the method used to estimate COVID-19, and updates to the CODEm modelling framework. This analysis used 55 761 data sources, including vital registration and verbal autopsy data as well as data from surveys, censuses, surveillance systems, and cancer registries, among others. For GBD 2023, there were 312 new country-years of vital registration cause-of-death data, 3 country-years of surveillance data, 51 country-years of verbal autopsy data, and 144 country-years of other data types that were added to those used in previous GBD rounds. FINDINGS: The initial years of the COVID-19 pandemic caused shifts in long-standing rankings of the leading causes of global deaths: it ranked as the number one age-standardised cause of death at Level 3 of the GBD cause classification hierarchy in 2021. By 2023, COVID-19 dropped to the 20th place among the leading global causes, returning the rankings of the leading two causes to those typical across the time series (ie, ischaemic heart disease and stroke). While ischaemic heart disease and stroke persist as leading causes of death, there has been progress in reducing their age-standardised mortality rates globally. Four other leading causes have also shown large declines in global age-standardised mortality rates across the study period: diarrhoeal diseases, tuberculosis, stomach cancer, and measles. Other causes of death showed disparate patterns between sexes, notably for deaths from conflict and terrorism in some locations. A large reduction in age-standardised rates of YLLs occurred for neonatal disorders. Despite this, neonatal disorders remained the leading cause of global YLLs over the period studied, except in 2021, when COVID-19 was temporarily the leading cause. Compared to 1990, there has been a considerable reduction in total YLLs in many vaccine-preventable diseases, most notably diphtheria, pertussis, tetanus, and measles. In addition, this study quantified the mean age at death for all-cause mortality and cause-specific mortality and found noticeable variation by sex and location. The global all-cause mean age at death increased from 46·8 years (95% UI 46·6-47·0) in 1990 to 63·4 years (63·1-63·7) in 2023. For males, mean age increased from 45·4 years (45·1-45·7) to 61·2 years (60·7-61·6), and for females it increased from 48·5 years (48·1-48·8) to 65·9 years (65·5-66·3), from 1990 to 2023. The highest all-cause mean age at death in 2023 was found in the high-income super-region, where the mean age for females reached 80·9 years (80·9-81·0) and for males 74·8 years (74·8-74·9). By comparison, the lowest all-cause mean age at death occurred in sub-Saharan Africa, where it was 38·0 years (37·5-38·4) for females and 35·6 years (35·2-35·9) for males in 2023. Lastly, our study found that all-cause 70q0 decreased across each GBD super-region and region from 2000 to 2023, although with large variability between them. For females, we found that 70q0 notably increased from drug use disorders and conflict and terrorism. Leading causes that increased 70q0 for males also included drug use disorders, as well as diabetes. In sub-Saharan Africa, there was an increase in 70q0 for many non-communicable diseases (NCDs). Additionally, the mean age at death from NCDs was lower than the expected mean age at death for this super-region. By comparison, there was an increase in 70q0 for drug use disorders in the high-income super-region, which also had an observed mean age at death lower than the expected value. INTERPRETATION: We examined global mortality patterns over the past three decades, highlighting-with enhanced estimation methods-the impacts of major events such as the COVID-19 pandemic, in addition to broader trends such as increasing NCDs in low-income regions that reflect ongoing shifts in the global epidemiological transition. This study also delves into premature mortality patterns, exploring the interplay between age and causes of death and deepening our understanding of where targeted resources could be applied to further reduce preventable sources of mortality. We provide essential insights into global and regional health disparities, identifying locations in need of targeted interventions to address both communicable and non-communicable diseases. There is an ever-present need for strengthened health-care systems that are resilient to future pandemics and the shifting burden of disease, particularly among ageing populations in regions with high mortality rates. Robust estimates of causes of death are increasingly essential to inform health priorities and guide efforts toward achieving global health equity. The need for global collaboration to reduce preventable mortality is more important than ever, as shifting burdens of disease are affecting all nations, albeit at different paces and scales. FUNDING: Gates Foundation.

Construction delays are common in construction industry and create major concerns for project performance. Construction delays are caused by many factors. The aim of this paper is to identify delay factors on construction projects and analyze these factors with the relative importance index method. For this purpose, 83 different delay factors were identified, categorized into nine major groups, and visualized by the Ishikawa (fishbone) diagram through detailed literature review and interviews with experts from the construction industry. The relative importances of these delay factors were quantified by the relative importance index method. The ranking of the factors and groups were demonstrated according to their importance level on delay. According to the case study results, the factors and groups contributing the most to delays (those needing attention) were discussed, and some recommendations were made to minimize and control delays in construction projects.

Countries are working into making agriculture more sustainable by integrating different technologies to enhance its operation. Implementing improvements in irrigation systems is crucial for the water-use efficiency and works as a contributor to Sustainable Development Goals (SDGs) under the United Nations specifically Goal 6 and Target 6.4. This paper aims to highlight the contribution of SMART irrigation using Internet of Things (IoT) and sensory systems in relation to the SDGs. The study is based on a qualitative design along with focusing on secondary data collection method. Automated irrigation systems are essential for conservation of water, this improvement could have a vital role in minimizing water usage. Agriculture and farming techniques is also linked with IoT and automation, to make the whole processes much more effective and efficient. Sensory systems helped farmers better understand their crops and reduced the environmental impacts and conserve resources. Through these advanced systems effective soil and weather monitoring takes place along with efficient water management. Irrigation systems have been determined as positive contributor toward optimized irrigation systems that could enhance the use of continuous research and development which focus on enhancing the sustainable operations and cost reduction. Lastly, the challenges and benefits for the implementation of sensory based irrigation systems are discussed. This review will assist researchers and farmers to better understand irrigation techniques and provide an adequate approach would be sufficient to carry out irrigation related activities.

Increasing awareness on the various environmental problems has led a shift in the way consumers go about their life. There has been a change in consumer attitudes towards a green lifestyle. People are actively trying to reduce their impact on the environment. However, this is not widespread and is still evolving. Organizations and business however have seen this change in consumer attitudes and are trying to gain an edge in the competitive market by exploiting the potential in the green market industry. The current study introduces the concept of green marketing and looks into the various ways in which the different consumer attributes are related to the concept of green marketing. A conceptual framework is presented and the information is analyzed on the basis of the framework.

The purpose of this study is to discover the main themes and categories of the research studies regarding digital literacy. To serve this purpose, the databases of WoS/Clarivate Analytics, Proquest Central, Emerald Management Journals, Jstor Business College Collections and Scopus/Elsevier were searched with four keyword-combinations and final forty-three articles were included in the dataset. The researchers applied a systematic literature review method to the dataset. The preliminary findings demonstrated that there is a growing prevalence of digital literacy articles starting from the year 2013. The dominant research methodology of the reviewed articles is qualitative. The four major themes revealed from the qualitative content analysis are: digital literacy, digital competencies, digital skills and digital thinking. Under each theme, the categories and their frequencies are analysed. Recommendations for further research and for real life implementations are generated.

Purpose Through social media technologies, small and medium-sized enterprises (SMEs) can communicate information and respond to competitors with minimal cost. The ability to share and access information can affect SMEs’ performance, but there is little research on the link between SMEs’ social media adoption and their performance. The purpose of this paper is to present a quantitative survey to explore factors that influenced social media adoption by SMEs in the United Arab Emirates (UAE), and its impact on performance. Design/methodology/approach The study used a multi-perspective framework combining technological, organizational and environmental elements affecting SMEs. Survey questionnaires were used to collect data from a random sample of SMEs operating in the UAE. Using partial least squares and structural equation modeling techniques, 144 responses were analyzed. Findings Social media adoption had no effect on SMEs’ performance. These findings could help managers and decision makers in the SME sector to try to keep pace with research on social media innovations, and enable them to benefit from social commerce as it becomes more ubiquitous. Research limitations/implications This has implications for social media experts and anyone wishing to encourage social media use by SMEs. Originality/value The study developed a suitable multi-perspective framework covering various factors that may affect social media use. It also tested the framework empirically on a sample of SMEs from the UAE.

Initial trust represents the trust that develops upon first use of a product. It is built on the basis of the net effect of factors that stimulate as well as inhibit it. Future transactions require less consumer effort after initial-trust formation. Despite being recognized as an important factor affecting the adoption of innovations, initial trust has been not been greatly explored by prior scholars. The present study remedies this gap by invoking the information systems success (ISS) model, transaction cost economics (TCE) theory, and the IT continuance model to propose a two-step framework that includes the antecedents of a pre-adoption factor, such as initial trust, and post-adoption factors, such as confirmation, perceived usefulness, satisfaction, and continuation intention toward mobile-based payments. Cross-sectional data of 954 first-time mobile-wallet users are analyzed to test the framework. The study findings suggest that information and service quality positively influence initial trust, which, in turn, has a positive association with confirmation and perceived usefulness. Results also reveal a positive relationship between perceived usefulness and continuation intention. These results pave the way for making useful recommendations for future researchers. The study also discusses various inferences that can improve managerial efficacy in promoting the use of mobile-based payment methods.

Current research examines the impact of academic and familial stress on students' depression levels and the subsequent impact on their academic performance based on Lazarus' cognitive appraisal theory of stress. The non-probability convenience sampling technique has been used to collect data from undergraduate and postgraduate students using a modified questionnaire with a five-point Likert scale. This study used the SEM method to examine the link between stress, depression, and academic performance. It was confirmed that academic and family stress leads to depression among students, negatively affecting their academic performance and learning outcomes. This research provides valuable information to parents, educators, and other stakeholders concerned about their childrens' education and performance.

The aim of this study is to perform a meta-analysis which analyses the individual research findings which pertainto the relationship between self-efficacy, employee motivation and work related performance of the employee.From the results of the study it is observed that self-efficacy theory can be applied for work related performancein terms of motivating different employee related facets as well as organizational pursuits. In this study theresearcher has attempted to assess the influence of self-efficacy on the performance of individuals at workplaceand the mechanism by which self-efficacy of an individual determines his/her work related performance andmotivation. Thus, it becomes necessary to identify the practical implications of the outcomes related toimproving employee self-efficacy in order to motivate them and improve their performance.

This study aimed at examining the impact of E-HRM on organizational health. It focused on telecommunications companies operating in Jordan. Data were primarily gathered through self-reported questionnaires created in Google Forms and distributed to a purposive sample of senior managers via email. AMOSv24 was used to test the study hypotheses. The results of the study show that E-HRM has a positive impact on organizational health. Based on the obtained results, the researchers recommend managers and decision-makers of the telecommunications companies in Jordan to invest in electronic human resources systems, which can help them fully implement human resources practices electronically, to obtain economic savings and to be able to attract talents. The study also highlights the importance of focusing more on the electronic training and development process in order to raise individuals’ practical capabilities, which is reflected in their creativity.

Purpose – The purpose of this paper is to review the existing literature on determinants that influence organizational performance and to develop a framework that could be beneficial for leaders. Design/methodology/approach – This paper uses a systematic review of articles on the factors that influence organizational performance. The purpose of this systematic review is to collect and summarize all empirical evidence from literature that fits the context of this study. Findings – The findings of the study have been weaved together in a proposed framework for the role of cognitive, emotional, and social competencies on leadership competencies that in turn influence both employee and organizational performance. Research limitations/implications – This paper is a literature review, a framework on the determinants of organizational performance has been proposed but has not yet been tested empirically. Practical implications – Leaders can leverage the results of this study to enhance their leadership competencies for the purpose of improving the performance on both individual employee and organizational levels. Originality/value – There are few research-based studies on the determinants of organizational performance. This paper has identified key variables that play a significant role in helping organizations perform effectively.

Purpose – The purpose of this paper is to provide a framework through which to understand, predict and control factors affecting employee engagement in the public sector in the United Arab Emirates (UAE). Design/methodology/approach – The paper examines research conducted in the area of employee engagement and proposes a conceptual framework that can be used by practitioners to engage employees and motivate them toward organizational growth and sustainability. Findings – In line with the literature-based analysis, a framework of employee engagement was developed, illustrating the linkage between leader, team, perceived organizational support and organizational culture that is being mediated by employee motivation. Research limitations/implications – Employee engagement as exemplified in this study is well suited for use in the public sector in the UAE. Further empirical study should be undertaken to ascertain the effect of the proposed framework and hypotheses. Practical implications – The study incorporates determinants of employee engagement in a framework that practitioners can make use of to identify interventions with which to engage and retain talented employees for organizations’ benefit. Originality/value – This paper provides a comprehensive framework that contributes to the conceptualization of employee engagement and will help practitioners as well as academics to understand the underlying causes of disengagement in organizations.

Consumption patterns across the globe indicate consumers’ rising interest in purchasing organic food due to increasing personal-health consciousness. However, research on organic food shows a low translation of this interest into stated preferences for purchasing organic food. Limited academic research has explored this puzzling buying behavior of consumers, particularly in developed economies such as Japan. Our study addresses this gap by examining the factors that facilitate or inhibit Japanese consumers’ buying behavior toward organic food. We use the Stimulus-Organism-Response framework, Innovation Resistance Theory, and Dual-Factor Theory to examine these factors by analyzing data collected from 928 consumers. We propose that health consciousness is a stimulus that has a positive impact on facilitators (natural content, nutritional content, and ecological welfare) as well as inhibitors (usage, risk, and value barriers). We further argue that stated buying behavior is the outcome of both facilitators and inhibitors. The findings confirm that health consciousness is positively associated with all facilitators and inhibitors. The analysis also reveals that all three facilitators and two inhibitors (value and risk barriers) are associated with stated buying behavior. Furthermore, buying involvement (BI) positively moderates the associations between stated buying behavior and nutritional content (facilitator) as well as risk barrier (inhibitor). Gender moderates the association of all facilitators and risk barrier with stated buying behavior.

Large language models (LLMs) have received considerable interest in the field of natural language processing (NLP) owing to their remarkable ability to generate clear, consistent, and contextually relevant materials. Among the numerous LLMs, ChatGPT (Generative Pre-trained Transformer for Chatbots) is emerging as a prominent prospective tool for developing conversational agents such as chatbots. However, there is a need for a clear conceptual understanding of ChatGPT's potential implications for the industry and its role in marketing. This study explores the adoption of ChatGPT in marketing and examines theories that may influence its adoption by marketers and consumers, as well as its implications for marketers. This study discusses how ChatGPT may allow for more personalized and engaging content, better customer experience, and improved ROI. However, adoption also brings challenges, including ethical considerations and the need for new skill development. This study also discusses future research opportunities for the adoption of ChatGPT and other generative artificial intelligence technologies in marketing. The goal is to provide insights for organizations that consider implementing these technologies, and to contribute to the literature on the adoption of Artificial Intelligence (AI) and the use of Generative AI in marketing.

Purpose The application of knowledge management (KM) is critical to public sector firm as it is to private sector firm. However, despite its significance, the academic enquiry of KM in public sector is at its nascent stage. This forms the motivation of the present work; this paper aims to analyze and understand the intricate relationship between KM processes and public sector firm performance in terms of operational, quality and innovation performance. Design/methodology/approach A comprehensive KM processes–performance framework consisting of seven constructs (four constructs of KM processes and three constructs of KM performance) and their underlying factors was developed through an extensive literature review. The employee perceptions of these seven constructs were captured on a five-point Likert scale using a country-wide survey in the UAE public sector. The 270 valid responses captured were then used to first validate the KM framework and then test the hypothesized relationships between KM processes and KM performance. Findings The findings show that all four KM processes (knowledge creation, knowledge capture and storage, knowledge sharing and knowledge application and use) had a positive and significant impact on operational, quality and innovation performance of public sector in the UAE. Research limitations/implications The findings confirm the validity and reliability of all the seven constructs and their underlying factors and the assessment framework. Overall, this study fills a gap in the literature about applying/implementing a KM framework for the public sector and therefore significantly contributes toward the theoretical advancement of the field. However, the study does acknowledge the use of perceptual measures of individual employees as a limitation instead of more objective measures to capture the impact KM processes on KM performance. Practical implications The strong and significant impact of KM processes on firm performance is expected to provide the impetus for practitioners and policymakers to implement and leverage from KM processes and improve firm performance in the public sector. Originality/value A comprehensive development, validation and assessment of a KM framework for the public sector has not been attempted previously anywhere, let alone UAE, and hence constitutes the novelty of this work.

The consumption of organic food is gaining ground globally due to consumers’ concerns for personal health and food safety. Several countries, such as Japan, are turning their focus to promoting organic food consumption, but research is scarce on Japan’s organic food market. Additionally, despite consumers’ positive predisposition, retail sales in Japan for organic food are low, and there is a need to understand the reason for this disparity. The present study addressed this need by examining factors that may drive consumers’ willingness to purchase (WTP) and stated buying behavior (SBB) toward organic food through the Stimulus–Organism–Behavior–Consequence (SOBC) paradigm. The developed model was tested using cross-sectional data collected from 928 Japanese consumers. Study findings suggest that food safety concerns (FSC) and health consciousness are positively related to openness to change, and ethical self-identity. Further, openness to change and ethical self-identity are positively associated with WTP, while SBB is positively associated with WTP. In addition to this, buying frequency positively moderated the association of self-identity with WTP and WTP with SBB. The study offers critical implications for researchers, marketers and retailers.