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Improving the quality of life of the masses is the prime objective of all policymakers of both developed and developing countries. However, the determinants of improved quality of life are not well explored in the empirical literature. This study has, therefore, tried to identify the determinants of quality of life by focusing on military expenditures.

Panel data from 1990 to 2017 are collected from internationally reliable sources for the Association of Southeast Asian Nation (ASEAN hereafter) member countries, and suitable econometric techniques are employed to estimate the designed models.

The results show that military expenditures have affected the quality of life of the ASEAN member countries both negatively and significantly. Similarly, the inflation rate has also negatively affected the quality of life. In terms of magnitude, the negative impact of the inflation rate on quality of life has exceeded than the impact of military expenditures. On the other hand, trade openness, per capita income, urbanization and government expenditures have played a positive and significant role in improving the quality of life in the ASEAN region. Moreover, it is found that the positive impact of per capita income on quality of life is highest among other determinants.

This study provided comprehensive evidence about the relationship between military expenditures and quality of life in the ASEAN context. Consequently, the ASEAN member economies will benefit a lot from the results of this study.

The African region has experienced relatively lower economic growth and higher outflow of migration over the years. The purpose of this research paper, therefore, is to focus on the African region to investigate whether or not there is any link between the poor economic growth and rising outflow of migration.

Empirical data spanning from 1990 to 2015 are collected from reliable sources for 41 countries belonging to the African region. Appropriate estimating methodology that controls for unobserved heterogeneity both across time and across countries, and endogeneity is employed.

The results revealed that the migration has adversely influenced the economic growth of the African region as a whole. The splitting of sample into male and female migration also reflected the fact that the unsatisfied economic growth of the African region could be explained by the ever rising migration level. Other determinants such as employment and growth of physical capital have helped the region in the growth journey. Human capital has not played a vital role in economic growth as it is adversely affected by migration. Further, the study found support for the positive impact of moderate inflation on economic growth. The obtained results are robust to alternative methodologies and hence would be beneficial for policymakers.

The present study provides for the first time comprehensive empirical evidence on the relationship between migration and economic growth by focusing on Africa. Therefore, this study would be of prime importance for policymakers.

In the contemporary period, numerous businesses undergo significant adjustments, such as evaluating critical components of the corporate operations and relying on technology to keep operations running while conforming to an ever-changing set of norms and new tactics. The present study aims to (1) explore the relationship between Industry 4.0 (I4.0) tools and their impact on organizational performance and (2) find evidence supporting the moderating role of remote working and organizational agility (OA) in enhancing organizational performance.

The study employed the quantitative research method, and the data were collected from individuals working in different Asian IT firms using the previously established questionnaire. The data were examined using SPSS v22. Different statistical tests have been performed to find the relationship among constructs.

This study uncovers that I4.0 tools impact organizational performance, especially in the IT sector, with a particular emphasis on the moderating influence of remote work and OA. I4.0 tools encompass pivotal components such as artificial intelligence (AI), big data (BD), cloud computing (CC) and Internet of Things (IoT) indeed augment organizational performance. It can be referenced that I4.0 tools play the role of a driving force that equips organizations with the knowledge to augment their performance.

Companies should encourage remote work and use I4.0 technology to support and manage it. Enabling people to work from any location, lowering the requirement for physical infrastructure and enabling a more flexible and responsive organizational structure can increase OA. In conclusion, firms in Asia may increase the performance and agility using I4.0 technology. Organizations may innovate by putting money into these technologies, encouraging remote work and creating an innovative culture.

In this dynamic and technologically advanced environment, every industry is forced to look for latest tools, i.e. I4.0, tools to augment the performance. It has been concluded that I4.0 tools are “better practices” for boosting organizational performance; hence, the findings benefit firms working in the IT sector. The verdicts of this research can assist organizations in making decisions regarding the implementation of I4.0 tools.

To the best of the authors' knowledge, no specific study could be found in which the relationship among these constructs had been investigated earlier in the IT sector. This research work acts as value addition to the literature as it illustrates technological advancements may increase organizational performance, especially in Asia. This research work adds to the body of knowledge by amplifying the effect of latest technologies on organizational performance, via remote work and OA.

Technological advancements have benefited businesses all over the world in how they set up production lines, create new products/services and trade goods. Multinational corporations can communicate instantly with their distant operations by utilizing information technology tools and communication networks. Businesses have taken a significant shift and new factors have emerged which affect company's competitiveness. In case of resorting to an outsourcing option, a comprehensive approach for valuing the essential criteria is often missing. While specifically focusing on the decisions that have a huge impact on company's performance, it is crucial to pay close attention to the ways of selecting suppliers. The purpose of research is to choose the optimal manufacturing alternative from a set of possibilities.

The current research utilizes the Delphi technique for collection of vital criteria such as “quality”, “cost”, “delivery”, “warranties and claims”, “supplier profile”, “relationship and communication” and their respective sub-criteria. The purpose of research is to choose the optimal manufacturing alternative from a set of possibilities. In this regard, Analytical Hierarchy Process (AHP) technique is employed.

The current research enlightens that outsourcing can yield promising beneficial results. The results highlighted that in Hi-tech public sector organizations, international alternative is found best in almost all criteria especially in vital criteria such as “Quality”, “Cost”, “Delivery”, “Supplier Profile,” etc. Similarly, in case the outsourcing is done to a Domestic alternative, still the Domestic alternative is found effective in comparison to in-house manufacturing setups. The research showed unexpected results. Because previously it was assumed that in-house manufacturing would be more beneficial. However, the current findings support the “NASA” strategy which moved toward outsourcing to private sector.

Limitations of the proposed methodology also produce opportunities for further exploration of the topic. One key limitation of the research described in this study is that the parameters and their sub-parameters interdependency were not taken under consideration. This means that quality and cost are not dependent upon each other. However, in reality quality and cost are interlinked. This means if quality is increased, cost is also increased. Similarly, for products having zero percent of re-claim, the product would have to be manufactured with high quality.

The study is advantageous for both suppliers and purchasers, in any type of businesses where decision-making problem are under consideration. This model aids suppliers in revealing, how they can expand their profile, by focusing on the current research's selection criteria. In this way alternatives profile can now be perfected. Moreover, buyers can now rank suppliers on their quality management, financial status and other essential factors in order to conduct purchasing decisions. For the decision maker, the results illustrate which critical factors to evaluate when screening suppliers by applying current model techniques.

It is obvious that nearly almost every industry is forced to look for alternatives for all of its operations if outsourcing is an option. The study's findings have major benefits for all industries with an important role in manufacturing and supply chain operations. These objectives will serve the industries well and they will be able to prioritize their alternative selection criteria based on their operations. The findings of this study can assist any organization in their selection of vendors by providing a more detailed explanation of the impact that various criteria have on the decision-making process.

To the best of authors' knowledge, no previous study has used two approaches (AHP and Delphi study) to propose a model for making manufacturing decisions with domestic, in house and international alternatives in Hi-tech public sector organizations. The model not only benefits the manufacturers for choosing suitable suppliers but also aids suppliers to build their profile in an improved fashion by focusing on the vital attributes. This research benefits managers to improve their ability to make effective purchasing decisions, and also opens new avenues for researchers to further explore such findings in other areas as well.

Al‐Qaeda poses a major challenge to western democracies with its international networks and suicide attacks; it has been involved in some of the most horrific terrorist attacks across the world. As a result the UK, similar to many other countries, has enacted hard‐line counter‐terrorism legislation that has had an impact upon Muslim community relations with law enforcement agencies. This paper aims to examine the glorification offence under the Terrorism Act and its implications for free speech.

The paper is designed to examine counter‐terrorism legislation in Britain and in particular the offence of glorification and the impact it has had upon Muslim communities using empirical case studies and theoretical evidence.

It is found that Muslim communities feel that their freedom of speech, thought and expression have been seriously curtailed as a result of the glorification offence and has led them to feel a sense of alienation and stigma which has manifested itself in the community by not trusting law enforcement agencies and counter‐terrorism policies.

In order to build trust with the Muslim community law enforcement agencies such as the police need to ensure that they do not disproportionately use their power of arrest under the guise of combating terrorism. Therefore, there is a need for law enforcement agencies to improve their internal and external structures through a process of engagement and understanding Muslim communities which would help rebuild trust and confidence.

The paper examines counter‐terrorism legislation and provides a theoretical framework for how policy should be shaped in the area of counter‐terrorism. Currently the literature available concerning the new government reforms and the glorification offence under the Terrorism Act is limited and thus this paper provides a unique contribution towards understanding this offence in more detail and the impact it may have upon Muslim communities and civil liberties.

The global economy has been affected by the COVID-19 pandemic, which has placed greater responsibility on companies to fulfill their obligations to Corporate Social Responsibility (CSR) amid the crisis. This chapter investigates the role of a Chief Executive Officer (CEO) attributes in improving a firm's CSR in the emerging economy of Jordan and how the COVID-19 pandemic modifies this relationship. Using a Jordanian sample of 655 firm-year observations during the 2014–2021 period, the research results show that older CEOs, well-educated CEOs, CEOs' remuneration, and CEOs' ownership positively correlate with CSR reporting. However, long-tenured CEOs are associated with lower CSR initiatives. The subsample analysis findings also validate the significance of CEO attributes in improving CSR practice during the COVID-19 pandemic compared to the prepandemic period. These findings are beneficial for the regulatory setters to understand better whether CEO attributes are linked to engagement in CSR-related information. This research is among the limited number of studies that have explored how CEO attributes impact CSR reporting for the stakeholder's welfare. Moreover, it uniquely concentrated on contrasting the findings before and during the COVID-19 pandemic.

The aim of our study is to explore the nexus between the gender composition of board and firm financial performance. We use the data of 114 listed banks from 10 Asian emerging economies. Data were extracted from the DataStream for the year 2012–2021. We apply fixed effect model to analyze the data. In addition, we use generalized method of moments (GMM) to verify our main findings. We find that both proxies of board gender composition which are the proportion of female board members and the percentage of female executives on the board have a significant impact on banks' financial performance. Findings suggest that female representation on board provides more insights of monitoring and optimal advisory capabilities and, therefore, gender-diversified board enhances firm performance. Females are more active in business matters and take more interests to fulfill their responsibilities. The results of our study provide useful signals for corporate and regulatory policymakers. Board gender disparities between enterprises should be better understood by all stakeholders to have the optimal combination of board members that ultimately lead to better performance of the firm.

This study aims to assess students’ perceived quality of university administrative services, and reconnoiter the disparities in their perceptions according to their gender and college. This study also scrutinizes the influences of students’ perceived quality of university administrative services on their behavioral intentions, and examines the moderating effects of students’ gender on these influences.

Achieving a reply rate of 68 per cent, this study was carried out in a public university in Jordan by using a stratified systematic random sample consisting of 10 per cent of the population, where 572 usable questionnaires were returned. Reliabilities of scales were assessed via Cronbach’s alpha, and hypotheses were tested via t-test, analysis of variance and hierarchical regressions.

The results showed that after controlling for other studied variables, students’ perceived quality of university administrative services explains 5.6 and 4.1 per cent of their behavioral intentions to transfer to a different university and to recommend their university, respectively. Further, when considering individually the five dimensions of students’ perceived quality of university administrative services, they explain 7.1 and 16.4 per cent of students’ behavioral intentions to transfer to a different university and to recommend their university, respectively. Furthermore, students’ gender moderates the influence of assurance on students’ intentions to recommend, as this moderating effect explains 2.7 per cent of students’ intentions to recommend.

This study addresses for the first time the influences for the perceived quality of the administrative services provided by a Jordanian public university on the behavior intentions after controlling for several variables including intention to leave university study and finding a moderating role for students’ gender.

This paper aims to propose DisDSS: a Web-based smart disaster management (DM) system for decision-making that will assist disaster professionals in determining the nature of disaster-related social media (SM) messages. The research classifies the tweets into need-based, availability-based, situational-based, general and irrelevant categories and visualizes them on a web interface, location-wise.

It is worth mentioning that a fusion-based deep learning (DL) model is introduced to objectively determine the nature of an SM message. The proposed model uses the convolution neural network and bidirectional long short-term memory network layers.

The developed system leads to a better performance in accuracy, precision, recall, F-score, area under receiver operating characteristic curve and area under precision-recall curve, compared to other state-of-the-art methods in the literature. The contribution of this paper is three fold. First, it presents a new covid data set of SM messages with the label of nature of the message. Second, it offers a fusion-based DL model to classify SM data. Third, it presents a Web-based interface to visualize the structured information.

The architecture of DisDSS is analyzed based on the practical case study, i.e. COVID-19. The proposed DL-based model is embedded into a Web-based interface for decision support. To the best of the authors’ knowledge, this is India’s first SM-based DM system.

In a modern business scenario, firms have implemented customer-centric approaches to enable customer relationship management (CRM) to trigger business excellence. Business strategies are modernizing business marketing operations that mainly focused on the retention of profitable customers. The purpose of this study is to empirically investigate the impact of marketing strategies (MS), information technology support (IT-S) and knowledge sharing (KS) in the effect of CRM in the pharmaceutical sector of Punjab, Pakistan.

Data were collected from the field force of national and international pharmaceuticals companies (N = 263) through a convenience sampling technique. Partial least squares structural equation modeling was used to examine data in SmartPLS 3.2.6.

The results indicated that IT-S and KS mediate the relationship between MS and CRM. More specifically, MS positively develops CRM through IT-S and KS.

This research contributes to the existing literature of pharmaceuticals by disclosing the field-force (medical representatives) specific role in developing CRM performance between pharmaceuticals firms and health-care physicians that are mainly based on knowledge advancement and influence these firms to adopt customer-centric business approaches to gain a competitive advantage to drive firm profitability.