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Our research investigated the potential effects of incorporating artificial intelligence (AI) techniques into scholarly publications, specifically big language models. The study employs a qualitative methodology and web content analysis to understand various publishers' guidelines. It examines the potential applications and outcomes of AI in publishers. The analysis has revealed insightful findings regarding the use and implications of AI tools in academic publishing. Agglomeration analysis has uncovered distinct clusters of terms, indicating semantic relationships and thematic cohesion within the dataset. Notably, ‘Large’ and ‘Models’ have formed a coherent cluster, highlighting the significance of large-scale language models in scholarly discourse. Similarly, factor analysis has identified thematic clusters related to AI usage, emphasising aspects such as accuracy, responsibility and the role of authors in AI-assisted work. Semantic mapping has further elucidated thematic dimensions, highlighting linguistic frameworks, work-related constructs, methodological frameworks, AI technologies and publication dynamics. Evaluation metrics have consistently demonstrated cohesion, coherence and lexical diversity across varying numbers of topics, underscoring the robustness of the semantic mapping approach. Additionally, the Silhouette coefficient has provided insights into cluster quality, indicating strong cohesion within specific thematic clusters while hinting at potential overlaps in others. Co-occurrence matrix and cross-tabulation analysis have revealed association and frequency distribution patterns among terms, shedding light on prevalent themes and topics within the dataset. Finally, the proximity plot has illustrated the strength of associations between keywords and accuracy, emphasising central themes and moderate thematic relevance.

Firms need competitiveness in terms of quality, price, and delivery to satisfy public sector customers. The purpose of this study is to investigate the effect of innovation capability on this competitiveness in a market-oriented firm and to determine the role of supply chain integration and marketing-technical integration in enhancing innovation capability.

A theoretical model was developed to test hypotheses. Data was collected from 199 top-level managers serving pharmaceutical companies. Partial least squares-structural equation modelling was used for datas analysis.

The results highlight the vital role of innovation capability in the development of firm competitiveness. Significant results for all relationships were obtained. The effect of market orientation on supply-chain integration was stronger than its effect on marketing-technical integration. Partial multi-mediation of supply chain integration and marketing-technical integration was found in the relation between market orientation and innovation capability.

The study helps managers develop an efficient strategy by using firms’ innovation capability to supply products according to public sector customer needs.

The study is based on a real-time practical problem faced by firms, as the majority of them fail to sell their products to public sector customers. To the best of the authors’ knowledge, the current study is one of the first studies that discusses the role of innovation capability at the marketing-supply chain management interface to help a firm become an attractive supplier for public sector customers.

The purpose of this study is to find the influence of brand experience on brand equity with the mediation of hedonic emotions, utilitarian emotions and brand personality among the smartphone users in Pakistan.

The survey based on empirical method was used to administrate the questionnaire. The data were collected from a millennial generation in Sargodha city. Skewness, Kurtosis’s, correlation and regression techniques were used to analyze data.

The finding of this study shows that the hedonic emotions, utilitarian emotions and brand personality mediate the relation between brand experience and brand equity. The study will help brand managers and academia in understanding the hedonic and utilitarian emotional pattern, and the congruence between the personality and smartphone brand users and behavior pattern of young users.

Research support the argument that promoting emotional aspects is significant for the sustainability of brand equity of the smart-phone brands. Segments other than young consumers would be more interesting to study.

This paper provides implications for smart phone marketers on smart phone consumption behavior. Marketing managers must link products attributes to the personality of the user and promote them that will emotionally attach users to the product.

This paper presents key findings on smart phone buying experience using utilitarian value approach followed by hedonic consumption approach and found to be significant predicators.

This study undertakes a comprehensive exploration of the relationships between psychological ownership (PO) in playful consumption and its substantial impact on consumer happiness (CH). Specifically, this study aims to investigate the moderating effects of personality and game performance on the association between PO and CH.

Subsequently, this study proceeds to evaluate consumer happiness in the context of playful consumption experiences through two distinct studies, one quantitative and the other experimental. For Study 1, a randomized sample of 453 respondents from Pakistan is utilized, and data is analyzed using SEM (Structural Equation Modeling) techniques. In Study 2, this study employed an EEG emotive insight device, offering valuable insights into the factors associated with psychological ownership. This experimental approach allows exploring the neuro-marketing perspective of players engaging in playful consumption activities.

The research findings demonstrated multiple positive associations with psychological ownership (PO). Perceived control, competitive resistance, emotions, customer participation, personality and performance all exhibited significant positive correlations with PO. Furthermore, the study highlighted that game performance has the capacity to enhance feelings of happiness among participants.

This study offers innovative insights into the mechanisms that underpin consumer happiness and serves as a reliable guide for policymakers, applied psychologists, consumers and marketers who play a role in shaping the future in the domain of happiness and well-being through playful consumption experiences.

This study offers new insights into the processes that drive consumer happiness and provides a vigorous guide for policymakers, applied psychologists, consumers and marketers who shape the futures in the field of happiness and well-being through playful consumption experience.

This study aims to investigate the effectiveness of two types of social media videos used for destination image development: induced/commercial-oriented content and organic content (where content is made without commercial interest, such as vlogs classified as user-generated content).

Experimental research using “Emotive EEG” (electroencephalogram) in a controlled environment was conducted with 30 participants (20 males, 10 females), age range 18 to 26. Emotive EEG recording was performed while the participants watched both types of video clips. Test results for both groups indicate that induced content is preferred over organic content.

This study opens up future research avenues where neuromarketing’s “Marketer Friendly” EEG equipment can be applied to the customer selection process.

Marketing analysts can gauge the interest and response of customers on different types of social media video content for destination marketing based on the findings of this study.

One of the novel concepts in the management literature is intimate co-creation. Considering it as the outcome of workplace persuasion, this study examines its effect via team-member exchange and ethical climate for the assessment of multigroup analysis. Finding a relationship among variables is not the core objective of the study. The core objective was to assess multigroup analysis for examining measurement scales' uniformity or perceptual differences across the male and female groups using measurement invariance.

This was a quantitative study for a survey of faculty members from the top 10 Pakistani universities. It employed state-of-the-art statistical techniques, including the application of the foundational social exchange theory and the utilization of multigroup analysis in structural equation modeling (SEM) with the Analysis of Moment Structure (AMOS). The research methodology was designed to investigate the relationships between workplace persuasion, ethical climate, team member exchange and intimate co-creation. A specific emphasis was placed on assessing whether gender influences these relationships consistently across male and female groups, as determined by measurement invariance tests.

This study underscores the significant impact of ethical persuasion in the workplace on enhancing intimate co-creation among individuals, offering invaluable insights for organizational leaders. Importantly, it emphasizes that gender dynamics do not influence this relationship, underscoring the imperative of addressing gender-related workplace issues to optimize intimate co-creation. This holds particular relevance for service-based organizations, such as universities in this case.

This study makes a significant contribution by exploring the concept of intimate co-creation within the realm of organizational science, while also highlighting the crucial importance of considering workplace gender dynamics. It offers fresh insights into how these dynamics influence group creativity, guiding human resource practices toward fostering innovation within gender-inclusive workplaces. These insights gain added relevance in the evolving post-COVID-19 era and in the context of AI integration. Notably, a distinctive contribution of this study to social exchange theory lies in its innovative application of multigroup analysis to variables related to gender.

In an era marked by artificial intelligence (AI), virtual reality (VR) and augmented reality (AR), this study presents a research paradigm centered on nurturing fundamental skills crucial for effective digital leadership in a paradoxical age where leaders are ambitious as well as skeptical for the adoption of such technologies. This study offers a strategic framework to seamlessly integrate diverse technologies into leadership development; the objective is to bridge the divide between theoretical understanding and practical implementation, especially through the lens of paradox theory.

This conceptual study delineates essential attributes that digital leaders must cultivate, drawing insights from the corpus of literature encompassing leadership, technology and organizational advancement. Synthesizing theoretical perspectives, the study proposes a comprehensive research framework that provides a systematic approach to harnessing the potential of AI, VR and AR to enhance leadership competencies. This conceptual study significantly contributes to paradox theory through method of “theory adaptation” as elaborated in the literature.

The study unveils a spectrum of foundational proficiencies, including technological acumen, adaptability, strategic acumen, effective communication, collaborative aptitude and ethical acumen, among others. These competencies underscore the multifaceted skill set required of digital leaders. To adeptly traverse the intricate digital terrain, foster innovation and align technological advancements with organizational objectives, these proficiencies are imperative for digital leaders to possess.

The distinctiveness of this study lies in its all-encompassing approach to digital leadership development by offering a paradoxical perspective and hence making a contribution to the body of knowledge for paradox theory. By amalgamating AI, VR and AR into a cohesive framework, the study enhances the comprehension of how these technologies collaboratively nurture leaders capable of cultivating organizational triumph in the digital age. This proposed paradigm serves as a bridge between cutting-edge digital technology usage and leadership proficiency paradox, furnishing pragmatic insights to benefit both academic researchers and industry practitioners.

The growing emphasis on “managerialism” in police and the pressure to employ scientific methods of performance measurement warrants the need for a structured framework. The scope of police duties is large as it relates to several preventive and corrective action related to public safety and crime management. A challenge in measuring police performance is to take into consideration a range of variables that can potentially influence performance. The purpose of this paper is to provide a structured framework for measuring different facets of police efficiency, which is especially useful in managerial decision making.

This paper uses data envelopment analysis and discusses efficiency measurement in terms of the technical, managerial and scale efficiency, resources utilization patterns, returns-to-scale analysis and measurement of super-efficiency. The application of framework is based on the data of the police stations of Lahore, a large metropolitan city in Pakistan.

The paper shows the application of different measures of efficiency in making decisions pertaining resources allocation, prioritizing areas for improvement and identifying benchmarks for performance improvement. Different measures of efficiency are presented in the form of a structured framework.

Managers can use this framework to glean rich insights into different types of efficiency and sources of inefficiency. Further, a discussion of variables provided in this paper can be especially useful in determining trade-offs during the selection of inputs and outputs.

The key contribution of this paper is in providing a multifaceted efficiency measurement framework, that is capable of providing rich insights into the sources of inefficiency and helps scientific decision making. To the best of our knowledge, such a multifaceted approach has not been provided in previous publications.

The purpose of this study is to identify the relationship between artificial intelligence (AI) and fake news detection. It also intended to explore the negative effects of fake news on society and to find out trending techniques for fake news detection.

“Preferred Reporting Items for the Systematic Review and Meta-Analysis” were applied as a research methodology for conducting the study. Twenty-five peer-reviewed, most relevant core studies were included to carry out a systematic literature review.

Findings illustrated that AI has a strong positive relationship with the detection of fake news. The study displayed that fake news caused emotional problems, threats to important institutions of the state and a bad impact on culture. Results of the study also revealed that big data analytics, fact-checking websites, automatic detection tools and digital literacy proved fruitful in identifying fake news.

The study offers theoretical implications for the researchers to further explore the area of AI in relation to fake news detection. It also provides managerial implications for educationists, IT experts and policymakers. This study is an important benchmark to control the generation and dissemination of fake news on social media platforms.

The presence and progression of stenosis disturb the normal circulation of blood through an artery and cause serious consequences. The proposed investigation is aimed to assess non-Newtonian characteristics of blood in an elliptical artery having stenosis. The blood is taken as Sutterby fluid flowing via a multi-stenosed elliptical cross-section artery.

The analytical solution of a mathematical model representing the considered problem is extracted in a non-dimensional form by utilizing the perturbation technique under the mild stenosis assumptions.

The graphical nature of these results is examined and discussed comprehensively for different physical parameters. The height and shape of stenosis are noted to have prominent effects on flow velocity. The wall shear stress and flow velocity attained high values in the stenotic portion of the artery. The non-uniform stenosis is observed to create higher resistance to the flow than the uniform stenosis. Further, a high disorder is noticed in the constricted region of the artery by streamlines analysis.

The manuscript completely comprehends the blood’s non-Newtonian flow in the arteries of elliptical shape having multiple stenoses. The present study is about the properties of non-Newtonian blood flow through an elliptical artery with many stenoses. The Sutterby fluid model is used to describe the blood’s non-Newtonian nature. By utilizing presumptions of mild stenosis, the mathematical model’s non-linearity is decreased, and the perturbation method is applied to generate the resulting equations.

The presence of stenosis can significantly impact the circulation of blood flow. When an artery becomes narrowed, it can create a constriction or obstruction in the flow path of blood, which can lead to several important fluid dynamics phenomena, i.e. increased velocity, shear stress, pressure drop, etc. The presence of stenosis can cause various damages and complications in the affected blood arteries and surrounding tissues, resulting in heart attacks or diseases like atherosclerosis.

The work presented in the manuscript was not published earlier in any form.