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There is extensive literature on the effect of military expenditure on economic growth. However, there is also a wide gap in the literature on the relationship between productivity and innovation, which is considered the driving force of economic growth and military expenditures. To this end, this study examines the effect of military expenditures on economic growth, innovation and labor productivity for the period 1995–2019 in most militarized countries.

The tests used in the study's empirical analysis are techniques that take into account cross-sectional dependence and heterogeneity. The stationarity of the variables was tested with the Pesaran’s (2007) unit root test. Then, empirical findings were revealed based on the analysis through Westerlund’s (2008) cointegration test and Emirmahmutoglu and Kose’s (2011) panel causality test.

According to the empirical results, there is a long-run relationship, in other words, a cointegration between military expenditures and productivity, innovation and economic growth. Additionally, there are causality relationships between military expenditures and productivity, innovation and economic growth.

These results support the arguments of military Keynesianism and the Benoit hypothesis.

Despite the widespread theoretical debate, no empirical study tests the effect of military expenditure on productivity and innovation to the author's best knowledge. Hence, this study aims to fill this gap in the literature. Moreover, the fact that the econometric method used is based on second generation tests and the timeliness of the period range makes the study's findings more significant.

This study aims to present the perspectives of heterodox economics and Islamic economics on environmental economics, as an alternative to mainstream economics, which takes economic growth as its main objective and argues that environmental problems will largely disappear when economic growth is achieved.

In this study, there was no intention to conduct a detailed analysis of heterodox economic models and Islamic economics. Instead, the approaches to the “environment,” which can be considered as an urgent need of the planet, were evaluated, and the inadequate proposals of the mainstream economics’ environmental approach were theoretically criticized and heterodox economics and Islamic economics were proposed as an alternative model.

Heterodox and Islamic economics offer alternative models of development prioritizing social and ecological justice to address environmental problems, which is in contrast to mainstream economics’ narrow focus on market mechanisms and individual rationality. Thus, engaging in more dialogue in the context of the environment is inevitable for both schools, considering the vast geography inhabited by Muslims and the proposed heterodox economic policies, and moreover, these approaches are modeled for the first time.

This article presents a synthesis of Islamic economics and heterodox thinking in contrast to mainstream economic policy, highlighting their similarities and differences and providing a more comprehensive understanding of the complexities and potential solutions of environmental problems. To the best of the authors’ knowledge, this approach has not been previously explored, making it an original contribution to the literature.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

This study aims to identify the factors influencing agile readiness in start-ups. Start-ups are being confronted with increased competition, customer demands, technological innovations and changes in the market environment. Adopting agile readiness for sustainable operations is a profitable and dependable way to improve the competition and reduce the number of failures of start-ups. The start-ups may investigate “how” after understanding the “whys.” The answers to these questions will be crucial to develop a strategy and a plan for luring clients, users, investors and partners. Therefore, this study will help in answering these crucial questions by using Total Interpretive Structural Modeling (TISM), whose main aim is to answer the key question of “what,” “how” and “why.” Using the “Total Interpretive Structural Modeling (TISM)” technique, this research tries to “describe,” “analyze” and “categorize” the agile readiness for sustainable operations enablers in start-ups.

Expert feedback and literature reviews from various start-ups led to the discovery of 10 enablers. In this study, the TISM technique was used to examine the inter-relationships between the enablers. The agile readiness for sustainable operations enablers was ranked and classified using the “Multiplication Applied to Classification (MICMAC)” technique. They were divided into four different categories: “autonomous,” “independent,” “linkage” and “dependent enablers.”

The results show that executive-level aid is the key agile readiness factor for sustainable operations. The next priority has been capability, experienced and skilled employees, market knowledge and environment agility. Leadership and clear vision have been given further priority. The next important is flexibility. The last and the least priority is given to receptive and strategic agility. This directional flow assists management in attaining adaptable sustainability, leading to continued growth in this dynamic environment.

The study focuses primarily on the agile readiness for sustainable operations of start-ups. This study offers a recommended list of crucial elements for start-ups, which may aid in creating guidelines for implementing agility for sustainable operations. This study provides academics with a TISM model that illustrates how start-ups can be ready to implement agility for sustainable operations. Future researchers could add more agility readiness variables to this study and validate this model across different start-ups.

Before implementing agile readiness for sustainable operations in start-ups, this study will aid managers and practitioners in the start-up business in understanding the relationships of enablers and identifying important readiness enablers.

The current study analyzes the agile readiness for sustainable operations in Start-ups. To the best of the authors’ knowledge, it is the first endeavor to use the “TISM approach” to examine the interrelationships across agile readiness for sustainable operations characteristics in start-ups.

Although previous studies have studied the impact of spiritual leadership (SL) on employees’ innovation, the research on mechanisms and the boundary conditions for stimulating this relationship is scant. This paper aims to follow the idea of social capital theory (SCT), which contends that social relationships are resources that lead toward the development of intellectual capital, important for innovative work behavior (IWB) of employees; the mediating role of knowledge sharing self-efficacy (KSSE) and moderating role of innovation climate (IC) are considered.

The authors collected the data from the foreign and local employees working in multinational companies in China. The quantitative analysis was performed using Smart-PLS 3.0.

The results indicated that employee high-ranking of SL is positively related to KSSE. Moreover, SL is significant to enhance IWB, whereas KSSE explained this relationship. The authors also suggest that an employee’s KSSE is significant to form important behavior at work (IWB). However, IC did not play its moderating role in the SL – IWB link.

This study explores the influence of the leadership style (SL) on employees’ KSSE and the effect of KSSE on IWB, which have not been studied previously. The current study confirms the relationship between SL and IWB in the multicultural workplace and reveals the deeper influence of an individual’s belief (KSSE) mechanism between them. SCT was applied to explain the proposed relationships.

Online food delivery applications (OFDAs) provide an expedient platform, and consumers’ access to food has been drastically altered, especially during and after the COVID-19 pandemic. This study aimed to completely explore the attributes that influence consumers' purchase intention and how an app's aesthetics can evoke feelings that predict continuous usage intentions for OFDAs. The food industry, especially restaurants, heavily relies on mobile technology to facilitate critical online food delivery during the pandemic crisis.

The data for this study are gathered from 477 food consumers located in the federal capital territory (FCT) of Islamabad, Pakistan, through convenient sampling by developing a self-administrated online survey. SmartPLS is used for structural equation modeling to test the proposed research model and perform bootstrapping and algorithmic analysis.

Our findings revealed that perceived value positively predicted consumers’ purchase intentions. Moreover, perceived value mediates the association of information quality, familiarity, time-saving, usability and reputation with purchase intentions and fear of COVID-19 moderates the relationship between perceived value and purchase intention.

This research work has significant implications for researchers, web developers, app designers, delivery services, restaurants and other enterprises as it demonstrates the importance of aesthetically pleasing OFDAs in eliciting positive emotions and bolstering consumers’ intentions to continue using the app for efficient food delivery services.

This study expanded the application of the technology acceptance model (TAM) and attention, interest, desire and action (AIDA) by examining consumers’ purchase intentions in the context of OFDAs. Further, the successful utilization of TAM enhanced the understanding of consumer perceptions and behavioral intentions about the usage of OFDAs.

This paper aims to investigate the effect of Islamic microfinance on poor households through the case of the IKSAR Qard al-Hasan Program in Turkey. To achieve this aim, it examined the changes in the socio-economic status of beneficiaries before and after the program.

This paper adopts the convergent parallel mixed method design. It conducted two surveys to micro-entrepreneurs: the first is when they received the loan and the second is when they finished their installments. In addition to the longitudinal data obtained from these two surveys, qualitative data were collected by participant observation and interview technique with visiting these people periodically throughout the interest-free loan (qard al-hasan).

According to the results obtained from the analysis of the pre- and post-surveys, a statistically significant increase of 35% was experienced in the monthly household income after receiving the qard al-hasan loan compared to before. Similarly, a statistically significant increase was found in the monthly expenditures of 23 out of 30 households after receiving the qard al-hasan.

There are two originalities of this study. To the best of the authors’ knowledge, it is the first research that examines the only Islamic microfinance program in Turkey. Second, it uses longitudinal data while examining the impact of Islamic microfinance on the welfare of the poor. In the relevant literature, no study has been identified that uses longitudinal data in Islamic microfinance. Similarly, a limited number of longitudinal studies examine the impact of conventional microfinance institutions on the poor.

This study aims to examine consumer perception during COVID-19 and identifies cruise industry marketing strategies to fill a gap in crisis management and product pricing literature.

This study developed and validated two-factor measurement scales (vaccine perception and protective behavior), which predicted cruise intents well. This study revealed how geo-regional factors affect consumer psychology through spatial analysis.

This study recommended pricing 7-day cruises at $1,464 (the most preferred length). The results also showed that future price hikes would not affect demand and that coastal marketing would help retain customers.

This study contributed to the business, hospitality and tourism literature by identifying two new and unique factors (vaccine perception and protective behaviors), which were found to affect consumers’ intention to travel by cruise significantly. The result provided a better understanding of cruise tourists’ pricing preferences and the methods utilized could easily be applied to other cruise markets or tourism entities.

The soliton solutions are obtained by using extended rational sin/cos and sinh-cosh method. The methods are powerful and have ease of use. Applying wave transformation to the nonlinear partial differential equations (NLPDEs) and the considered equation turns into a nonlinear differential equation (NODE). According to the methods, the solution sets of the NODE are supposed to the form of the rational terms as sinh/cosh and sin/cos and the trial solutions are substituted into the NODE. Collecting the same power of the trigonometric functions, a set of algebraic equations is derived.

The main purpose of this paper is to obtain soliton solutions of the modified equal width (MEW) equation. MEW is a form of regularized-long-wave (RLW) equation that represents one-dimensional wave propagation in nonlinear media with dispersion processes. This is also used to simulate the undular bore in a long shallow water canal.

Thus, the solution of the main PDE is reduced to the solution of a set of algebraic equations. In this paper, the kink, singular and singular periodic solitons have been successfully obtained.

Illustrative plots of the solutions have been presented for physical interpretation of the obtained solutions. The methods are powerful and might be used to solve a broad class of differential equations in real-life problems.

This paper develops a decision-analysis model to prioritize and select the site to establish a new hospital over different indicators such as cost, market conditions, environmental factors, government factors, locations and demographics. In this way, an integrated model is proposed under the intuitionistic fuzzy information (IFI), the standard deviation (SD), the rank-sum (RS) and the measurement of alternatives and ranking using the compromise solution (MARCOS) approach for ranking hospital sites (HSs).

The IF-SD-RS model is presented to obtain the combined weight with the objective and subjective weights of diverse sub-criteria and indicators for ranking sites to establish the hospital. The IF-MARCOS model is discussed to prioritize the various sites to establish the hospital over several crucial indicators and sub-criteria.

The authors implement the developed model on a case study of HSs assessment for the construction of new hospital. In this regard, inclusive set of 6 key indicators and 18 sub-criteria are considered for the evaluation of HSs. This study distinguished that HS (h₂) with combined utility function 0.737 achieves highest rank compared to the other three sites for the given information. Sensitivity analysis is discussed with different parameter values of sub-criteria to examine how changes in weight parameter ratings of the sub-criteria affect the prioritization of the options. Finally, comparative discussion is made with the diverse extant models to show the reasonability of the developed method.

This study aims to develop an original hybrid weighting tool called the IF-SD-RS model with the integration of IF-SD and IF-RS approaches to find the indicators' weights for prioritizing HSs. The developed integrated weighting model provides objective weight by IF-SD and subjective weight with the IF-RS model. The model presented in the paper deals with a consistent multi-attribute decision analysis (MADA) concerning the relations between indicators and sub-criteria for choosing the appropriate options using the developed IF-SD-RS-MARCOS model.