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Aims to evaluate the effectiveness of 2‐amino 4‐phenyl thiazde (APT) and its three anils as inhibitors for the corrosion of mild steel in 1M HCl. Discusses the variation of inhibition efficiency with temperature. Gives account of experimental procedures on mild steel strips for weight loss measurements and potentiodynamic polarization studies.

Macrocyclic compounds constitute a potential class of corrosion inhibitors. In an attempt to develop effective corrosion inhibitors we have synthesized four macrocyclic compounds by condensing o‐ethylene diamine and o‐phenylene diamine with ethylacetoacetate and succinic acid; Their inhibiting action was evaluated on corrosion of mild steel in HCI and H₂SO₄ by weight loss and potentiodynamic polarization methods. A macrocyclic compound derived by condensing o‐phenylene diamine with ethylacetoacetate exhibited best performance by giving IE of 98 per cent at 500 ppm concentration. The potentiodynamic polarization studies revealed that the tested compounds are either mixed type or predominantly cathodic inhibitors. IE of all the investigated compounds increased significantly on addition of a small concentration KI in both acids due to synergism.

Poly(styrenesulphonic acid)‐doped polyaniline has been synthesised and the influence of this polymeric compound on the inhibition of corrosion of mild steel in 1M HCl has been investigated using weight loss measurements, galvanostatic polarisation studies, electropermeation studies and a.c. impedance measurements. The polymer acts predominantly as an anodic inhibitor. Hydrogen permeation studies and a.c. impedance measurements clearly indicate a very effective performance of the compound as a corrosion inhibitor. The adsorption of the compound on the mild steel surface obeys Temkin's adsorption isotherm.

The purpose of this paper is to show a comparative study of different direction-of-arrival (DOA) estimation techniques, namely, multiple signal classification (MUSIC) algorithm, delay-and-sum (DAS) beamforming, support vector regression (SVR), multivariate linear regression (MLR) and multivariate curvilinear regression (MCR).

The relative delay between the microphone signals is the key attribute for the implementation of any of these techniques. The machine-learning models SVR, MLR and MCR have been trained using correlation coefficient as the feature set. However, MUSIC uses noise subspace of the covariance-matrix of the signals recorded with the microphone, whereas DAS uses the constructive and destructive interference of the microphone signals.

Variations in root mean square angular error (RMSAE) values are plotted using different DOA estimation techniques at different signal-to-noise-ratio (SNR) values as 10, 14, 18, 22 and 26dB. The RMSAE curve for DAS seems to be smooth as compared to PR1, PR2 and RR but it shows a relatively higher RMSAE at higher SNR. As compared to (DAS, PR1, PR2 and RR), SVR has the lowest RMSAE such that the graph is more suppressed towards the bottom.

DAS has a smooth curve but has higher RMSAE at higher SNR values. All the techniques show a higher RMSAE at the end-fire, i.e. angles near 90°, but comparatively, MUSIC has the lowest RMSAE near the end-fire, supporting the claim that MUSIC outperforms all other algorithms considered.

The purpose of the current study is to investigate the role network value of firm on the relationship between firm strategic initiatives on firm performance by managing the market antecedents including user's expectations, user's coordination and user's compatibility.

The current study uses secondary date of telecom industry of Pakistan, India and China. The data obtained were later subjected to the analysis using CASUALMED procedures of statistical analysis software (SAS).

The findings from the study projected that strategic drivers played an important role in leveraging the firms' performance. The results also confirm that in order to increase the firm performance, the network value of firms' plays a very crucial role.

Despite making novel contribution, the present study has few limitations, need researchers' attention to be explained in the future, which includes narrow population size, not being able to work on indirect network effects and the theoretical explanation of behavioral antecedents of network value.

The present research have potential applications for managers of telecom industry, which in turn would help them to develop the strategies that they could build to leverage their network value and firms' performance.

The current study has made a considerable contribution in the literature by proposing a model that adds to the theoretical foundation of strategic management of the firm. So, closely considering these insights would be helping for the firms to leverage its network value in mobile telecommunication industry.

This particular study examined the government bond price variations in order to determine the presence of excess volatility both at country and panel group level of BRICS countries context.

The study applied the autoregressive GARCH panel model approach proposed by Fakhry and Richter (2015) to evaluate the presence of excess volatility and then examined the diversification benefits. Further, the use of discrete wavelet transformation (DWT) has added the advantage to observe volatility across bonds along with potential diversification benefits by retaining information from the time and frequency domain perspective for both the maturities.

The main finding indicates that the excess volatility is present in BRICS countries at individual level i.e. in the case of Russia, India and China. However, the 10-year bond showing a less volatility compared to 5-year bond with the possibility of reaping out the benefits of diversification with international portfolio of sovereign bonds.

The main implication of the research is related to the non-perseverance of EMH as far sovereign bonds of BRICS countries are concerned as the results indicate presence of excess volatility in the 5-year and 10-year bond markets. However, the implicit behavior of 5-year bond could benefit the active fund managers and investors by taking an advantage of a reducing systemic risk through short-medium term investments.

This study contributes not only to the existing studies of similar nature by examining the excess volatility in bond markets but also taking account of co-moment of distinct maturities to confirm possible international diversification benefits for BRICS countries context.

The purpose of the study is to examine the role of the types of psychological contract (PC) to enhance knowledge sharing (KS) behavior of employees through the intervention of perceived organizational support (POS).

The current study uses primary sources to get data from the participants of both private and public hospitals. Overall, 210 respondents participated in the study, which later subjected to the analysis using CAUSALMED procedures using statistical analysis software.

The findings from the study projected that all types of psychological have a considerable effect on KS behavior of employees, either directly or through the intervening mechanism. Furthermore, the study also indicates that if employees’ POS, they will share a stronger bond with the organization, which will be beneficial for the organizations’ health.

Firstly, despite the fact that this study proposes valuable insights into KS behavior; it allows some impediments of a primary study. Secondly, the research is constrained to the hospital industry. Finally, this exploration can likewise be reinforced by incorporating other intervening mechanisms, to give an extensive understanding of the connection between employees’ perception regarding PC and KS behavior.

The findings of the present research have potential applications for human resource managers of the healthcare industry to place more emphasis on the types of PC, organizational support and KS among the employees to achieve a competitive advantage in this dynamic environment through knowledge management, which is considered a strategic asset nowadays.

This study provides an original contribution by identifying the diverse paths, indicating how the types of PC can impact KS with employees’ perceptions toward organizational support. It also highlights that how the heaths care industries, as compare to the old practices can encourage a culture of KS in this highly competitive and dynamic environment to remain at the top on the market.

Given the lack of understanding surrounding search regret, this study aims to draw on the regret regulatory theory to investigate the outcomes of search regret and effective strategies to reduce its adverse effects.

Using time-lagged data from 331 salespeople-customers dyads, this study investigates the connection between search regret, store image, interaction quality, and store revisit intentions.

Customers develop negative perceptions of the store, subsequently reducing their intentions to revisit. Salespeople’s interaction quality can reduce the negative impact of search regret on store image and revisit intentions. Furthermore, store image serves as a mediator between search regret and revisit intentions.

This study marks the first attempt to investigate the store image and revisit intentions as outcomes of search regret and examines the moderating role of salespeople’s interaction quality in reducing the negative consequences of search regret.

Financial fraud is a severe corporate fraud committed for achieving various objectives, like attaining financial targets, lowering debt and providing good signals to the market. Such financial fraud deceives stakeholders and results in substantial financial losses. This study aims to detect financial fraud using the modified Beneish M-Score, the most appropriate forensic tool for fraud detection. Furthermore, the current study also examines the influential role of the fraud triangle’s elements (pressure, opportunity and rationalization) on financial fraud in nonfinancial firms during 2018–2021, offering insight for understanding and mitigating fraudulent activities in the corporate world.

Financial fraud is treated as a dependent variable measured through a modified Beneish M-score, while the fraud triangle elements (pressure, opportunity and rationalization) are measured through six proxies, which are financial stability, leverage, financial target, nature of the industry, the effectiveness of supervision and auditor changes.

The study's finding proclaimed that fraud triangle elements result in financial fraud. Findings unveil that all elements (pressure, opportunity and rationalization) of the fraud triangle significantly influence financial fraud. The study confirms that these elements must be considered to protect investors and provide a safe environment for investment.

Rare literature found addressing the detection of financial fraud and its nexus with the fraud triangle specifically in Pakistan where deficient governance is notably prevalent. This study attempts to fill such a gap and contribute to knowledge.

Blockchain technology is a distributed and decentralized public digital ledger, which is employed to save dynamic transaction data and static records across several computers so that each record could not be modified retroactively without the collusion of the network and alteration of all subsequent blocks. Recently, it has become immensely popular in digital resource sharing in different research areas such as healthcare, smart cities, cryptocurrency and libraries. Since the current eLibrary systems are vulnerable to issues such as unauthorized access, plagiarism, etc., there is a lack of access control system that can efficiently address these issues.

The authors designed a conceptual model for evaluating the users' intention in the use of blockchain-based digital libraries, which can facilitate the resource organization and provide additional security to interactive processes between users. To conduct our survey, the authors devised and shared two versions, English and Chinese, among 298 participants. Moreover, 7 PhD students participated in the pre-testing of the questioner design. The authors analyzed the demographic data using the Jamovi software and SmartPLS in order to generate the path modeling.

This study revealed that blockchain technology adaption in eLibraries is essential for enhancing the quality of services, infrastructure and resources for libraries. The study’s results show that optimism, informativeness, perceived usefulness, perceived ease of use, attitude and intention to use blockchain technology for accessing digital resources in libraries.

This study contributes to the adoption of blockchain technology in the digital library. To the best of the authors’ knowledge, this work is the first empirical attempt to provide a new perspective of developing digital libraries based on security policies. This model shows the underpinning knowledge to manage digital resources, which can facilitate the design phases and enhance the management costs in eLibraries.