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This study aims to identify the developer’s objectives, current state-of-the-art techniques, challenges and performance evaluation metrics, and presents outlines of a knowledge-based application programming interfaces (API) recommendation system for the developers. Moreover, the current study intends to classify current state-of-the-art techniques supporting automated API recommendations.

In this study, the authors have performed a systematic literature review of studies, which have been published between the years 2004–2021 to achieve the targeted research objective. Subsequently, the authors performed the analysis of 35 primary studies.

The outcomes of this study are: (1) devising a thematic taxonomy based on the identified developers’ challenges, where mashup-oriented APIs and time-consuming process are frequently encountered challenges by the developers; (2) categorizing current state-of-the-art API recommendation techniques (i.e. clustering techniques, data preprocessing techniques, similarity measurements techniques and ranking techniques); (3) designing a taxonomy based on the identified objectives, where accuracy is the most targeted objective in API recommendation context; (4) identifying a list of evaluation metrics employed to assess the performance of the proposed techniques; (5) performing a SWOT analysis on the selected studies; (6) based on the developer’s challenges, objectives and SWOT analysis, presenting outlines of a recommendation system for the developers and (7) delineating several future research dimensions in API recommendations context.

This study provides complete guidance to the new researcher in the context of API recommendations. Also, the researcher can target these objectives (accuracy, response time, method recommendation, compatibility, user requirement-based API, automatic service recommendation and API location) in the future. Moreover, the developers can overcome the identified challenges (including mashup-oriented API, Time-consuming process, learn how to use the API, integrated problem, API method usage location and limited usage of code) in the future by proposing a framework or recommendation system. Furthermore, the classification of current state-of-the-art API recommendation techniques also helps the researchers who wish to work in the future in the context of API recommendation.

This study not only facilitates the researcher but also facilitates the practitioners in several ways. The current study guides the developer in minimizing the development time in terms of selecting relevant APIs rather than following traditional manual selection. Moreover, this study facilitates integrating APIs in a project. Thus, the recommendation system saves the time for developers, and increases their productivity.

API recommendation remains an active area of research in web and mobile-based applications development. The authors believe that this study acts as a useful tool for the interested researchers and practitioners as it will contribute to the body of knowledge in API recommendations context.

The quality of construction projects is mainly dependent on the process quality during the construction phase than product quality. The key factors that influence the process quality of building projects in Pakistan during the construction phase of building life cycle are evaluated from literature. This paper aims to discuss these issues.

The factors were ranked using the traditional relative importance index (RII) and the second synthetic grey relational analysis method. The findings indicate that during the construction phase the selection of an appropriate contractor is the most important factor. The existence of feedback system and quality of shop drawings received from subcontractors are also very significant factors, according to the grey relational model.

Measures for the improvement of process quality in Pakistan are suggested. The results from both methods are not entirely comparable; however, if one considers uncertainty in data, then the second synthetic GRA-based ranking should be preferred over RII in decision making.

The study is pioneer in the evaluation of key factors influencing process quality during building construction projects in Pakistan using a set of traditional and novel methods. The results of this study are significant in improving the process quality during different phases of construction.

In recent times, mobile banking has become the best alternative for transactions associated with payments like bills, fees, and peer-to-peer payments. Therefore, the pace of adoption is increasing day after other. However, the numbers of customers are not equal to the expectations as there are several challenges and threats hindering in the way of excellence and growth of mobile banking. Therefore, this chapter has been written purposively to address all the elements that are associated with the use of mobile banking with special emphasis on Pakistan and other developing sides of Asia. In fact, concern towards Asian sides is mandatory as the continent has the massive charm to attract users towards the use of mobile banking, but there is a need for proper policy and concern from stakeholders in order to give a push to the technology, which is fruitful for society, environment, as well as economy. The study includes an in-depth discussion on factors that need attention to make the study implicative and thorough for conducting further research in the field of Fin-Tech and mobile banking.

To improve the thermal performance of base fluid, nanoparticles of three types are dispersed in the base fluid. A novel theory of non-Fourier heat transfer is used for design and development of models. The thermal performance of sample fluids is compared to determine which types of combination of nanoparticles are the best for an optimized enhancement in thermal performance of fluids. This article aims to: (i) investigate the impact of nanoparticles on thermal performance; and (ii) implement the Galerkin finite element method (GFEM) to thermal problems.

The mathematical models are developed using novel non-Fourier heat flux theory, conservation laws of computational fluid dynamics (CFD) and no-slip thermal boundary conditions. The models are approximated using thermal boundary layer approximations, and transformed models are solved numerically using GFEM. A grid-sensitivity test is performed. The accuracy, correction and stability of solutions is ensured. The numerical method adopted for the calculations is validated with published data. Quantities of engineering interest, i.e. wall shear stress, wall mass flow rate and wall heat flux, are calculated and examined versus emerging rheological parameters and thermal relaxation time.

The thermal relaxation time measures the ability of a fluid to restore its original thermal state, called thermal equilibrium and therefore, simulations have shown that the thermal relaxation time associated with a mono nanofluid has the most substantial effect on the temperature of fluid, whereas a ternary nanofluid has the smallest thermal relaxation time. A ternary nanofluid has a wider thermal boundary thickness in comparison with base and di- and mono nanofluids. The wall heat flux (in the case of the ternary nanofluids) has the most significant value compared with the wall shear stresses for the mono and hybrid nanofluids. The wall heat and mass fluxes have the highest values for the case of non-Fourier heat and mass diffusion compared to the case of Fourier heat and mass transfer.

An extensive literature review reveals that no study has considered thermal and concentration memory effects on transport mechanisms in fluids of cross-rheological liquid using novel theory of heat and mass [presented by Cattaneo (Cattaneo, 1958) and Christov (Christov, 2009)] so far. Moreover, the finite element method for coupled and nonlinear CFD problems has not been implemented so far. To the best of the authors’ knowledge for the first time, the dynamics of wall heat flow rate and mass flow rate under simultaneous effects of thermal and solute relaxation times, Ohmic dissipation and first-order chemical reactions are studied.

Pakistan's present war against extremists has many folds and sheds. The country's initial participation in the Afghan War in 1979 later gave birth to different extremist trends in the country. State patronage of the extremist Wahabi Islamists during the Afghan jihad opened another conflict in Pakistan, and things became more complicated. The combination of external and internal factors gave birth to the worst kind of conflict, which now has not only become dangerous for the country's own existence but also a major threat for global peace. The Afghan jihad initially started as a war against Soviet occupation and later became the hub of global jihad-war against infidels.

This chapter analyzes how external factors promoted internal contradictions in Pakistan due to which the country became not only an exporter of jihadis for the world but also the worst kind of sectarian conflicts, including. Shia–Sunni, Deobandi–Wahabi clashes, entered into in the past two decades. Such a strong link exists with Pakistan's official support to global jihad. Draft sectarian groups now head to head with their opponents have killed thousands of members of rival sectors, have strong support from external sympathizers, and have spread in the country. The well planned terrorist activities of these groups reflect the fact that support to these groups in the past is now leading to a severe crisis in Pakistan. The nexuses of these indigenous extremists like Lashkar-e-Jhangvi, Lashkar-e-Taiba, Tehrik-e-Taliban Pakistan, and Hizb-ul-Mujahideen with external terrorist organizations like Al-Qaeda, the Taliban, and Islamic Movement of Uzbekistan of Tahir Yuldasher Chechen Guerilla War has led to several bloody clashes in the country and outside.

This study empirically examines the impact of some domestic as well as global factors such as trade openness (TO), money supply (MS), exchange rate, global oil prices (GOPs) and interest rate (IR) on inflation.

This study deploys a quantitative method considering 30 years of data (1991–2020) from four South Asian countries, namely, Sri Lanka, Pakistan, Bangladesh and India. To determine the potential impact of different factors on inflation, this study applies the panel analysis of the system generalized method of moments (SGMM).

This study empirically finds that TO, MS, exchange rate and GOPs have a positive impact on inflation, while IR and the structural adjustment program (SAP) have a negative impact on inflation. Out of the various determinants considered in this study, TO, exchange rate and the SAP are insignificant, while the rest of the variables are significant and consistent with previous studies.

This study informs policymakers about maintaining price stability and fostering economic growth in South Asian nations. It breaks new ground as the first empirical examination of the International Monetary Fund (IMF)’s SAP impact on inflation in the region.

This study tries to find out whether the SAP of the IMF is responsible for inflation in South Asian countries. It gives renewed attention to the causality of inflation from the perspective of countries receiving loans from donors, especially the IMF.

The purpose of this paper is to investigate the relationship between uncertain political events and Pakistani Stock Markets from May 1999 to December 2011.

Using the mean-adjusted return model and event study methodology and by comparing the market efficiency between the two government style, i.e. autocratic and democratic, the authors determined that how uncertain political events are affecting Pakistani Stock Markets.

The empirical result shows that political events have an impact on the Karachi Stock Exchange (KSE) returns. Moreover, the paper derives from the results that the KSE is inefficient for a short span of time, after 15 days KSE absorbs the noisy information. The political situation in Pakistan was more stable in autocratic government structure than in democratic structure but it is difficult to state that the stock markets are more efficient in Autocracy because only few events took place during an autocratic regime and magnitude of events was not same in the autocratic and democratic government structure.

This study is unique in its nature as it examines the effect of multiple political events on stock market returns in Pakistan simultaneously and is expected to contribute significantly in the capital market literature of Pakistan in particular.

This study presents a mathematical approach and model that can be useful to investigate the thermal performance of fluids with microstructures via hybrid nanoparticles in conventional fluid. It has been found from the extensive literature survey that no study has been conducted to investigate buoyancy effects on the flow of Maxwell fluid comprised of hybrid microstructures and heat generation aspects through the non-Fourier heat flux model.

Non-Fourier heat flux model and non-Newtonian stress–strain rheology with momentum and thermal relaxation phenomena are used to model the transport of heat and momentum in viscoelastic fluid over convectively heated surface. The role of suspension of mono and hybrid nanostructures on an increase in the thermal efficiency of fluid is being used as a medium for transportation of heat energy. The governing mathematical problems with thermo-physical correlations are solved via shooting method.

It is noted from the simulations that rate of heat transfer is much faster in hybrid nanofluid as compare to simple nanofluid with the increasing heat-generation coefficient. Additionally, an increment in the thermal relaxation time leads to decrement in the reduced skin friction coefficient; however, strong behavior of Nusselt number is shown when thermal relaxation time becomes larger for hybrid nanofluid as well as simple nanofluid.

According to the literature survey, no investigation has been made on buoyancy effects of Maxwell fluid flow with hybrid microstructures and heat generation aspects through non-Fourier heat flux model. The authors confirm that this work is original, and it has neither been published elsewhere nor is it currently under consideration for publication elsewhere.

The purpose of this paper is to examine the effect of human resource development on turnover intention through the mediating role of organizational commitment.

This paper used a quantitative research design. Data were collected from 204 flight attendants employees working at Royal Jordanian Airlines Company using an email survey questionnaire. Structural equation modeling (SEM) was adopted to test the hypothesized model.

The results assure positive effect of human resource development (HRD) on organizational commitment. Negative effect of both HRD and organizational commitment to turnover intention is observed. The results also confirm that the effect of HRD on turnover intention is negatively mediated by organizational commitment.

This research paper extends the literature by empirically adducing evidence that organizational commitment negatively mediated the effect of human resource development on turnover intention of the airlines in Jordan.

本研究擬透過組織承諾的中介角色,探討人力資源發展對離職意向的影響。

本研究採用了定量研究法。數據透過電郵問卷調查,從204名在皇家約旦航空公司工作的機艙服務員取得的。研究人員使用結構方程模型來測試假設模型。

研究結果確認了人力資源發展對組織承諾的積極作用,也肯定了人力資源發展和組織承諾兩者對離職意向的負面影響。研究結果亦確認了人力資源發展對離職意向的影響,是會受組織承諾負介導的。

由於研究在約旦的航空工業內進行,故取得的數據不能概括地廣泛應用於其他行業上。

研究的結果,在人力資源發展、組織承諾和離職文獻的知識體系上提供了新的信息。本研究亦顯示了在一個仍未充分探討、處於發展中國家的公司的背景下,人力資源發展、組織承諾與離職意向三者之間的相互作用。由於過去對人力資源發展和離職的研究大多是在發達國家進行的,故本研究的結果,確切證明了在發展中國家的背景裡,機艙服務員對人力資源發展的看法,會影響其態度的情感部分和行為意向。再者,本研究或可填補以發展中國家為背景之離職文獻研究缺口,尤其是約旦。實際上,面對員工有離職意向這挑戰的航空公司管理階層或需特別關注這個學術研究,這也正是本研究主要的啟示。航空公司經理和政策制定者可使用本研究的結果、作為他們研發人員保持策略的指導原則,以把員工離職的意欲減至最低。

研究以實驗為依據,引證了就約旦航空公司而言,人力資源發展對離職意向的影響,是會受組織承諾負介導的。

Project information is widely and thoroughly exchanged within construction projects. However, the risk management process exhibits deficiencies in coordination and visibility, particularly in developing countries. Practitioners in developing countries often engage in Project Risk Management (PRiM) using practices that inadvertently hinder project success, frequently resulting in suboptimal outcomes. Therefore, this research explores practices within Project Integration Management (PIM) and Project Communication Management (PCmM) that could enhance PRiM and improve managerial proficiency to achieve project success in developing countries.

The PIM, PCmM and PRiM processes were explored from the literature; the data was gathered initially by close-ended interviews conducted with a panel of twelve experts followed by a well-structured questionnaire. Structural Equation Modeling (SEM) was employed via AMOS to analyze the data and construct a model representing the intricate relationships between the processes. Additionally, the validity and reliability of the method were inspected.

The data analysis confirmed that PIM and PCmM were correlated according to contractors and consultants in the Jordanian construction industry. Furthermore, both have a positive influence on the PRiM. In addition, a 13-step process was developed to apply extra processes and practices to ensure better implementation of the PRiM in developing countries.

The literature highlights that integration and communication management influence project performance. However, there is a lack of research utilizing practices from these knowledge areas to achieve better project risk management implementation. This research highlights two of the most underrated knowledge areas in project management. Therefore, a framework was devised, comprising processes that practitioners should take into account during the planning phase leading to efficient PRiM to enhance their managerial proficiency.