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By any count or criterion, Pakistan is a national security state. It always was. The country has fought four wars with India, and it continues to suffer the devastating consequences of confrontation with its formidable neighbor – India; it has been put under siege for more than 40 years by the terrorist and religious extremist groups; it has suffered long spells of military rule; its political structure remains fragile; its civil society organizations are vulnerable, weak, and toothless; and its media, universities, research institutes, and judiciary are under huge stress. Given the state of affairs, the realization is rather slow to grow that human development strengthens national power and national security much more than weapons. It is in this context that a study on food insecurity in Pakistan has been undertaken. It aims to explain as to how a predominantly agricultural country has been reduced into a food resource poor country, and how has the neglect of social, economic, and cultural sectors made Pakistan more insecure. This study covers a number of related issues as well, but it mainly looks for answer to two questions: first, should food insecurity be studied in isolation as a separate issue or as a part of the larger issue of governance, security, and people; and second, isn't there a need to drastically restructure the economic, political, and security landscape and framework to significantly diminish poverty, illiteracy, and food insecurity in the country?

Generative Artificial Intelligence (GAI) can revolutionize higher education by allowing students to pursue their academics easily and comfortably. When this becomes a celebration for students as they get access to information with a click, it also points out the massive impact it can create on academic ethics and responsibility. Most of the research reveals that the results or information generated by these tools, like ChatGPT, sometimes are more general or even false. Are students aware of issues in using tools that align with the integrity of their work? The role and responsibility of Higher Education Institutions (HEIs) is to nurture AI literacy in students so that they can use AI tools appropriately for maximum efficiency and capabilities. This study was conducted to primarily understand students' psychological attitudes and beliefs towards using generative AI tools. Secondly, it examined the ethical and moral values the students could consider when applying generative AI tools. A survey of undergraduate students from HEIs all over Oman was conducted using a Five Point Likert Scale, and the collected survey data was analyzed using descriptive statistics, correlation analysis and thematic analysis for open ended questions. According to the respondents, GAI can bring scientific and technological progress in education but not much likely to change their behaviour and bring intellectual advancement. The study could also discover a high sense of moral and ethical values among the respondents while using GAI in education. This research study could form a base to embark on initiating generative AI governance in HEIs of Oman.

This research was initiated by motivation from a real business problem that delves into lean management practices in dairy farm operations. It investigates how lean management practices can be applied as an improvement strategy in the dairy business to evaluate its impact on performance, where profitability is a decisive factor.

Based on the qualitative design, a 5-phase action research methodology was used in this study, where multiple data collection sources were used, including focus group discussions, on-site observation or Gemba walks and process mapping. The impact is evaluated by comparing the key performance measures with the same period before and after research.

The research revealed that lean management practices can significantly improve dairy business performance. It explained vital aspects of lean management practices and their sequence with examples of first-hand applications. It explained, how lean management practices were applied in dairy farm operations. Furthermore, the research resulted in significant benefits, in terms of quality, cost and profitability.

This research was conducted in a real business setting in the field environment, to improve dairy business performance. It was a distinctive application of lean management practices to solve a national problem. This could be used as a road map to bring continuous improvement at the national level to improve the performance of food value chains.

This research is unique because it addresses the methodological, population and empirical gaps in dairy farm operations. It adds value to the existing knowledge base by sharing best practices, developed and implemented for the first time to the best of our knowledge, like high-level process mapping and performance measures at different levels. Furthermore, the solutions can be simulated in related farm operations to bring breakthrough improvements in dairy business performance.

As sustainable performance has a central role in the small and medium enterprises (SMEs) performance literature, this study aims to examine the influence of networking capabilities in enhancing sustainable performance through knowledge workers’ productivity and digital innovation. It also examines the sequential mediating role of knowledge workers’ productivity and digital innovation on networking capabilities and SMEs’ sustainable performance relationship.

Data were collected from 308 knowledge workers in the information technology sector and analyzed using the Hayes Process Macro bootstrapping method to test the proposed hypotheses.

Results indicate that knowledge workers’ productivity and digital innovation individually and sequentially mediate the relationship between networking capabilities and SME’s sustainable (economic and environmental) performance, surprisingly, they do not act as a mediator between networking capability and SME’s social performance. SMEs should prioritize investments in the professional development of their knowledge workers through training and skill enhancement programs. This investment equips knowledge workers with the tools to effectively use the knowledge and resources acquired through networking. Thus, knowledge workers may improve performance by using these resources to tackle challenges.

Although this research focused on this specific context, it is prudent to acknowledge that additional factors may also exert influence on sustainable performance within SMEs, factors that managers may consider when making decisions. Methodologically, the cross-sectional design of this research poses a potential limitation, as it does not allow for the complete elimination of endogeneity concerns. However, it is worth noting that scholars have endorsed the use of cross-sectional data in cases where management researchers aim to expand beyond well-documented and longitudinal data sets.

This research offers practical recommendations for SMEs to improve their sustainable performance through networking. SMEs should seek partnerships with complementary knowledge to improve operations and for other performance-oriented benefits.

This study adds significantly to the literature on sustainable SME performance by studying the interdependent effects of networking capabilities. It also represents the individual and sequential mediation mechanism that links networking capabilities to SME success through knowledge worker productivity and digital innovation.

This chapter critically explores the transformative role of Artificial Intelligence (AI) in higher education, highlighting both the opportunities it presents and the challenges it imposes. Focused on pedagogical enhancement, it details how AI-driven adaptive learning systems, tutors, and curriculum adjustments contribute to personalized education. It further examines AI's efficiency in streamlining administrative tasks, like enrollment and support services, while addressing significant ethical concerns, including data privacy and algorithmic bias. Moreover, the impact of AI on research and development is discussed, showcasing its potential to revolutionize scientific discovery through advanced data analysis. A strategic framework is proposed for stakeholders to effectively navigate AI integration and digital transformation, emphasizing a balanced approach that prioritizes innovation, ethical considerations, and quality in the digital era of higher education.

Taking the support of social capital theory and conservation of resource theory, the present study explores the mediating role of rumination and moderating role of mindfulness in the relationship of workplace ostracism (WO) and workplace withdrawal (WW).

The data were collected in two waves from 467 employees working in hotels located in Delhi NCR region of India. The hypothesised relationships were investigated by macro-PROCESS (Hayes, 2013).

The results found a mediating impact of rumination on WO and WW relationship. It further supported the moderating effect of mindfulness in weakening the association between WO and WW via rumination.

This study identified mindfulness as an essential mechanism by which WO may be regulated to control employee's tendency to ruminate. Rumination may initially be prevented in organisations by regulating the primary effect of WO on employees' decisions for WW.

By linking the research model with the social capital theory, the study has contributed to the existing body of knowledge. The study is the first of its kind in India to examine the impact of hypothesised associations on the hotel industry. The findings of the study would help the industry in understanding the role of mindfulness in reducing aberrant behaviours at workplace.

Researchers have widely explored and associated corporate social responsibility with firm success. Measuring the relationship between corporate social responsibility (CSR), service quality, corporate reputation, and brand preference by drawing on the stakeholder theory in healthcare industry and developing countries remains a substantial research gap.

Based on quantitative research and convenience sampling, data for the study were collected from 320 patients who have undergone treatments in 5 different private hospitals in Tehran, Iran. We analyzed the data using the Smart PLS 3.0 structural equation modeling technique.

The survey revealed that service quality and CSR are positively linked with corporate reputation, leading to brand preference in the healthcare sector. In addition, the mediating role of brand reputation in the relationship between corporate social responsibility, service quality and brand preference were confirmed.

The survey was performed in the context of the healthcare industry; however, additional studies are necessary to extrapolate the results to other fields, such as education and food. This research helps guide policymakers, administrators, healthcare managers, and researchers by highlighting the contribution and role of service quality, corporate social responsibility, and corporate reputation in achieving a hospital’s performance.

To the best of the authors’ knowledge, this study also extends research in the diverse literature by examining the relationship between CSR, service quality, corporate reputation, and brand preference by illustrating the stakeholder theory in the context of the healthcare sector.

The purpose of the paper is to investigate the association between corporate social responsibility (CSR) and investment efficiency (INE) in Bangladeshi pharmaceutical companies and to explore the moderating role of corporate reputation in this relationship.

The paper employs a two-step method, with stage 1 involving the development of a theoretical model using the literature's strategic framework and stage 2 using structural equation modelling (SEM) to investigate the relationships between variables. The data set used in the analysis includes 296 responses from senior executives/managers and subordinates at Bangladeshi pharmaceutical firms.

The study finds that CSR activities that focus on customers, employees and the community significantly affect INE, as well as the extended stakeholders, and that company reputation moderates this relationship. The effect of CSR on INE differs between well-established companies and business firms with favourable reputations.

The paper contributes to understanding the relationship between CSR and INE in a developing country context and highlights the importance of corporate reputation in this relationship. The findings suggest that companies can enhance their INE through CSR initiatives and that a positive reputation can strengthen this relationship further.

The study adds to the limited literature on CSR and INE in developing countries and provides new insights into the moderating role of corporate reputation in this relationship.

The aim of this study is to offer evidence-based knowledge of the most popular research topics in studies on spiritual leadership (SL) and the research approaches and theories in use. Another aim is to create a comprehensive research framework covering the antecedents and outcomes of SL, as well as the underlying mechanisms and conditional factors. This study also synthesizes future research avenues presented in the literature.

This study used a systematic literature review method. The presented analysis covered both bibliometric studies and in-depth manual content analysis. In total, 274 articles indexed in the Scopus database were analyzed, with a particular focus on 126 empirical papers.

This study shows that most of the research took place in developing countries and focused on the links between SL and workplace spirituality, employee well-being and engagement. It provides a complex research framework which orders previous variables according to their levels. Future research is required that would use a multilevel research approach and determine the impact of SL on society and the leaders themselves, as well as determining the reverse impact of organizational performance on the development of SL.

This study takes advantages of both bibliometric and in-depth content analysis to expand the understanding of the state of the art in SL research. It demonstrates how different factors contribute to SL and how they subsequently influence outcomes. It also offers numerous future research directions which go beyond those identified so far in the literature to further develop the theory of SL.

Research on training and/or L&D effectiveness is predominantly conducted in a traditional L&D context. Little research is conducted on training and/or L&D in the context of artificial intelligence (AI)-based learning. The present study aims to investigate the relationship between the adoption of AI-based learning systems and learners’ behavior. Drawing from the theory of planned behavior, the research examines the impact of attitude (ATT), subjective norm (SN) and perceived behavioral control (PBC) as AI-based learning intention (ALI) factors relate to changes in learners' behavior. Additionally, inspired by the self-determination theory by Deci and Ryan, the study further examines the mediating role of learner engagement between ALI and behavioral change.

Following a theoretical framework and using a systematic literature review method, the survey research has been planned by considering a sample from Indian industries. The collected data have been analyzed using SPSS-AMOS 27. While path analysis has been conducted to analyze the direct impact of ALI on learners' behavior, Hay’s PROCESS macro has been used to check the mediating impact of learner engagement between ALI and learners' behavior.

The results proved a significant and positive impact of all ALI factors such as ATT, SN and PBC on learners’ behavioral change. Further, the research found that learning engagement (LE) successfully mediates between AI learning intention and behavioral change.

In the absence of any empirical study in identifying the relationship among learning intention, LE and behavioral outcome, the result of this study may provide useful insights to researchers and practitioners.