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The study examines how adopting e-paisa technology (a mobile payment system) enhances micro-entrepreneurs' perceived success and subjective well-being during the COVID-19 global pandemic. The study also theorizes the moderating effects of gender through a moderated-mediation model.

The data are collected from 282 micro-entrepreneurs in Pakistan using a two-week time-lagged approach to test the hypothesized framework. The analysis was conducted using the PROCESS macro moderated-mediation method.

The results affirm that adopting e-paisa technology positively relates to perceived entrepreneurial success, ultimately increasing the entrepreneur's subjective well-being. Furthermore, in hypothesized moderated-mediation paths, the moderation effect of gender was stronger for women than men.

From the perspective of diversity, equality and inclusion, adopting a digital mobile payment system can be regarded as a catalyst for the inclusion of women entrepreneurs in marginalized communities, enabling them to continue their micro-businesses in times of global crises. Further, it is also suggested that public–private sector partnerships are essential for promoting a sustainable entrepreneurial ecosystem that subsequently leads to social and financial inclusion in marginalized communities.

The mediating role of perceived entrepreneurial success contributes to understanding the importance of psychological functioning among technology acceptance model (TAM) attributes and entrepreneurs' subjective well-being. In addition, theorizing gender differences in TAM and subjective well-being relationships revealed women's advantages, challenging the prevailing belief that women are less fortunate in entrepreneurial endeavors. This raises the need to reconsider and maybe change the perspective to consider women as a disadvantaged group in entrepreneurship.

This study aims to examine the influence of performance appraisal on Innovative work behavior of employees in public sector universities of Pakistan, by using the Ability, Motivation, and Opportunity framework.

A newly developed framework has been created to explore how performance appraisal, self-efficacy, and organizational climate influence employees' innovative work behavior. The study collected data using a self-administered questionnaire from employees who work in public universities in Pakistan.

The findings of this study revealed a positive correlation between performance appraisal and innovative work behavior. It is observed that self-efficacy mediates the relationship between performance appraisal and innovative work behavior and organizational climate moderates the relationship between self-efficacy and innovative work behavior.

The current study is novel and unique for several reasons. But the main contribution of this study is the validation of self-efficacy's mediating impact on innovative work behavior as well as the validity of the organizational climate as moderating effect in Pakistan’s public sector universities, where a large number of students have been enrolled and they can get advantage from their teacher's improved innovative behavior.

This study aims to map the “Desktop Research” (DR) output in Pakistan, as part of the growing field of research globally. It also ascertains the productive institutions and prolific authors along with their collaboration patterns.

Bibliometric techniques were used to quantitatively analyze the DR published in Pakistan. The publications from 1981 to 2021 were retrieved from Scopus. A total of 1,802 publications were retrieved and used for analysis.

Results indicated an unpredictable increase in DR output from approximately 100 to 400 records during the past five years. The year 2020 was most productive in DR research showing the excess use of secondary data by researchers in COVID-19. The focus of researchers towards DR was consistently rising. Medical journals were found to publish DR extensively. Majority of the publications were contributed by collaborative work and researchers of the USA were found as the most collaborative with Pakistani authors. Publications of single category journals, open access journals and international collaboration get more citations.

The results of the analysis rely only on a single database, Scopus, for retrieving the publication data.

The study has practical implications for the policymakers and higher education development organizations to introduce the DR as a course in academic schools.

To the best of the authors’ knowledge, this study is the first to review DR in the context of Pakistan through bibliometric analysis. This comprehensive overview provides a better understanding of the development of the field and possible practice implications.

This paper aims to focus on the aqueous extraction of natural dye from haematoxylum campechianum L. bark for finishing the bio-mordant cotton fabrics producing value-added, environment-friendly textile products, for biomedical applications.

The study focuses on the creation of eco-friendly bio-mordant cotton fabric using gallic acid and gelatin, Al³⁺ and Fe²⁺ salts and metal mordant. The optimal pH for extraction, structural characterization and phytochemical analysis of the extracted dye were estimated using UV-visible spectrophotometer, FTIR and qualitative analysis. Variations in electrolyte concentration and pH medium were also considered. The study also examines build-up properties, colorimetric values and fastness characteristics of the colored fabrics.

All the dyed fabrics exhibit very good to excellent in terms of antimicrobial resistance against S. aureus and C. allbicans.

Pre-mordant cotton fabrics with Fe²⁺ and a combination of metal and bio-mordant show higher antibacterial resistance against P. aerugionsa. Further, bio-mordant and a combination of both mordant exhibit excellent UV protection and antioxidant activity performance compared to that of undyed fabrics.

This work opens up a huge potential for producing healthy bioactive-colored fabrics used in medical textiles and other usages.

This study aims to dye silk with natural pigments extract of Coreopsis tinctoria, by treating the fabrics with appropriate mordant under suitable dyeing conditions, to achieve good dyeing depth, fastness and ultraviolet (UV) protection.

Firstly, single factor experiments were used to determine the basic dyeing conditions of Coreopsis tinctoria. The optimal process conditions for direct dyeing were determined through orthogonal experiments. After that, the dyeing with mordant was used. Based on the previously determined optimal process conditions, silk fabrics were dyed with different mordanting methods, with different mordants and mordant dosages. The dyeing results were compared, in terms of the K/S values of the dyed fabrics, to determine the most appropriate dyeing conditions with mordant.

The extract of Coreopsis tinctoria can dye silk fabrics satisfactorily. Good dyeing depth and fastness can be obtained by using suitable dyeing methods and dyeing conditions, especially when using the natural mordant pomegranate rind and the rare earth mordant neodymium oxide. The silk fabrics dyed with Coreopsis tinctoria have good UV resistance, which allows a desirable finishing effect to be achieved while dyeing, using a safe and environmentally friendly method.

The composition of Coreopsis tinctoria is complex, and the specific composition of colouring the silk fibre has not been determined. There are many factors that affect the dyeing experiment, which have an impact on the experimental results.

The results of this study may help expand the application of Coreopsis tinctoria beyond medicine.

To the best of the authors’ knowledge, this paper is the first report on dyeing silk with the extract of Coreopsis tinctoria achieving good dyeing results. Its depth of staining and staining fastness were satisfactory. Optimum dyeing method and dyeing conditions have been identified. The fabric dyed with Coreopsis tinctoria has good UV protection effect, which is conducive to improving the application value of the dyeing fabric. The findings help offer a new direction for the application of medicinal plants in the eco-friendly dyeing of silk.

Internet of Things (IoT) is a network, which provides the connection with various physical objects such as smart machines, smart home appliance and so on. The physical objects are allocated with a unique internet address, namely, Internet Protocol, which is used to perform the data broadcasting with the external objects using the internet. The sudden increment in the number of attacks generated by intruders, causes security-related problems in IoT devices while performing the communication. The main purpose of this paper is to develop an effective attack detection to enhance the robustness against the attackers in IoT.

In this research, the lasso regression algorithm is proposed along with ensemble classifier for identifying the IoT attacks. The lasso algorithm is used for the process of feature selection that modeled fewer parameters for the sparse models. The type of regression is analyzed for showing higher levels when certain parts of model selection is needed for parameter elimination. The lasso regression obtains the subset for predictors to lower the prediction error with respect to the quantitative response variable. The lasso does not impose a constraint for modeling the parameters caused the coefficients with some variables shrink as zero. The selected features are classified by using an ensemble classifier, that is important for linear and nonlinear types of data in the dataset, and the models are combined for handling these data types.

The lasso regression with ensemble classifier–based attack classification comprises distributed denial-of-service and Mirai botnet attacks which achieved an improved accuracy of 99.981% than the conventional deep neural network (DNN) methods.

Here, an efficient lasso regression algorithm is developed for extracting the features to perform the network anomaly detection using ensemble classifier.

The success of an Electronic Health Record (EHR) system is determined by the numerous facilitators and obstacles that influence physicians' intentions toward using these technologies. This study examines physicians' intentions to use EHR by applying the extended technology readiness and acceptance model (TRAM) factors, the result demonstrability, colleagues' opinions, perception of external control, and organizational support.

Convenience sampling was used to collect data from physicians in Egypt (n = 520). To evaluate the model's hypotheses, this study used the partial least squares structural equation modeling (PLS-SEM) method with WarpPLS.7.

The results revealed that positive TR factors (innovativeness and optimism) positively affect perceived usefulness and ease of use, while negative TR factors (discomfort and insecurity) negatively impact perceived usefulness and ease of use. Furthermore, the result demonstrability and colleagues' opinions positively influence perceived usefulness, while the perception of external control and organizational support positively influence perceived ease of use. In addition, significant relationships between perceived ease of use and usefulness and adoption intention were identified.

This is the first study to apply the TRAM to understand physicians' adoption intentions to use EHR systems. Moreover, this study determined the different roles of positive and negative TR affecting physicians' cognition regarding using EHR systems.

The study intends to evaluate the impact of inflation expectation on the performance of listed commercial banks in India during 2005–2021. Inflation expectation is considered as a direct policy tool by the policymakers for stability of the economy. The study explores how inflation expectation affects the performance indicators of the Indian banking industry while controlling for a wide range of bank-specific factors.

The study applies the generalized method of moments (GMM) on a panel sample of 27 listed bank to analyse the impact of inflation expectation on banking sector performance. The data on inflation expectation are obtained from the household inflation expectation survey introduced in India by the Reserve Bank of India in 2005. Return on assets (ROA), return on equity (ROE) and Tobin's Q have been considered as the banking performance indicators in this study.

Empirical results exhibit that inflation expectation is instrumental in deciding the banking sector's performance. Inflation expectation has been found to have a significant and positive impact on accounting-based measures of banking performance. At the same time, it shows negative impact on the marketing-based measure.

The study gives a clear picture about how inflation expectation affects the banking performance and the monetary policy of the country. The study provides crucial insights to develop strategic decisions for the Indian banking sector. The adoption of proper macroeconomic policies, taking into account inflation expectation levels, is instrumental in enhancing bank's performance and in achieving economic growth.

This study contributes to the growing body of literature on the impact of inflationary conditions on banking performance. The originality lies in capturing the role of inflation expectation solely in determining banking sector performance.

This paper aims to provide a reference for the development of digital transformation from the perspective of manufacturing process links.

This paper applies canonical correlation analysis based on digital technology patents in the key links of manufacturing industries (product design, procurement, product manufacturing, warehousing and transportation, and wholesale and retail) and the related indicators of economic benefits of regions in China.

(1) The degree of digitalization of manufacturing process links is significantly correlated with economic benefits. (2) The improvement of the degree of digitalization in the “product design” link, the “warehousing and transportation” link, the “product manufacturing” link and the “wholesale and retail” link has significant impacts on the economic benefits of manufacturing industry. (3) The digital degree of the “procurement” link has no obvious influence on the economic benefits of manufacturing industry.

The research results can provide reference for the formulation and implementation of micro policies. The strategy of improving the level of digital transformation of key links of manufacturing industry is put forward to better promote both the digital transformation of manufacturing industry and economic development.

This paper innovatively studies the relationship between digitalization of manufacturing process links and economic benefits. The findings can provide theoretical and empirical support for the digital transformation of China's manufacturing industry and high-quality development of economy.

Current research addresses the issue of brand loyalty while identifying its potential predictors. The research also examines the direct impact of brand credibility on brand loyalty and attitude toward brand and the direct impact of attitude toward brand and on brand loyalty respectively. Moreover, this research examines the mediating effect of attitude toward brand for the relationship of brand credibility and brand loyalty.

This is a cross-sectional research. Data is collected with the help of structured questionnaire. Simple random sampling technique is used for gathering the data from 220 Samsung users from Lahore, Pakistan.

Results indicate that brand credibility has a positive influence on attitude toward brand and brand loyalty respectively. Attitude toward brand partially intervenes the relation of brand credibility and brand loyalty.

There are some limitations of the current research. It includes only the customers of Samsung mobile. Data is collected from the customers of Lahore, Pakistan, only. This research can also be conducted among the customers of OPPO, Vivo and Apple and compare the results of current research with the results of OPPO, Vivo and Apple, which will provide the useful insights. This kind of research will also be conducted among the customers of other kinds of products like FMCGs, luxury items and even on the organizations of industrial products for generalizability. In future, customers of other cities of Pakistan like Karachi, Multan and Faisalabad may also be included for generalization.

This research provides a practical framework for the marketing department of Samsung mobiles and explains how brand credibility shape the brand loyalty through the path of attitude toward Samsung mobiles. So, Samsung mobiles can maintain current policies regarding brand credibility and attitude toward brand for attaining the better level of brand loyalty. Longitudinal research studies on these variables will also be helpful for the marketing department of Samsung for checking the level of propose relationships periodically and comparing it with previous results which will provide the true picture about propose relationships. If the value of propose relationships increases or remains at same level, then Samsung can maintain the current policies about these variables and if the value of these variables decreases, the Samsung will improve the current policies about these variables.

This research contributed in theory of reasoned action by proposing the brand credibility, attitude toward brand and brand loyalty in single model. Before this, these relations were explained separately. This research adds to the body of literature by checking the mediating effect of attitude toward brand for the relationship of brand credibility and brand loyalty.