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The purpose of this current paper is to deal with the study of non-constant entire solutions of some non-linear complex differential equations in connection to Brück conjecture, by using the theory of complex differential equation. The results generalize the results due to Pramanik et al.

39B32, 30D35.

In the current paper, we mainly study the Brück conjecture and the various works that confirm this conjecture. In our study we find that the conjecture can be generalized for differential monomials under some additional conditions and it generalizes some works related to the conjecture. Also we can take the complex number a in the conjecture to be a small function. More precisely, we obtain a result which can be restate in the following way: Let f be a non-constant entire function such that σ2(f)<∞, σ2(f) is not a positive integer and δ(0,f)>0. Let M[f] be a differential monomial of f of degree γM and α(z),β(z)∈S(f) be such that max{σ(α),σ(β)}<σ(f). If M[f]+β and fγM−α share the value 0 CM, then

This is an original work of the authors.

Entrepreneurial intention is crucial in both entrepreneurship literature and practice. However, limited information exists regarding entrepreneurs’ intentions in the realm of social enterprise creation. This study aims to determine the social entrepreneurial intentions of Generation Z students within the Indian environment by utilising the theory of planned behaviour (TPB) and its applicability using personality factors like risk-taking ability, proactivity, empathy and emotional intelligence.

A survey method was used, and data was collected by Generation Z individuals at three public universities in India using a self-administered questionnaire. The study used a purposive sampling technique, and further, the model was tested using the partial least square-structural equation modelling technique.

The study findings supported the proposed model of extended TPB, demonstrating that factors such as emotional intelligence, risk-taking ability and proactiveness are found prominent in Indian students. Furthermore, the role of gender as a control variable reflected no effect on social entrepreneurial intentions.

This research enhances the literature on social entrepreneurship by offering novel insights into social entrepreneurial intention. It is among the pioneers of its type to examine social entrepreneurial intent concerning personality factors among students of higher education institutions. This study provides interesting insights for universities and policymakers since they play a crucial role in promoting these antecedents through education and stimulation by enhancing entrepreneurial culture in developing countries.

The purpose of this paper is to study the impact of three dimensions of media context – program type, break type, and pod position – on two types of humorous advertisements: incongruity resolution (IR) and arousal safety (AS). The study aims to demonstrate that different humor types are evaluated differently under similar media context elements and a particular humorous advertisement can be evaluated differently under different elements of media context.

The hypotheses were tested through two experiments which were planned and conducted as “between-subjects” design. The analysis of collected data were done through ANOVA using IBM SPSS 22.

The results indicated that the adverse impact of negative mood (vs positive mood) was greater on IR advertisements as compared to AS advertisements. Similarly, the negative impact of an abrupt break (vs smooth break) was greater on IR advertisements. However, both humor types were effective when placed in positive mood programs and smooth breaks.

The findings suggest that campaign and media planners need to consider the media context as well as humor types to get better return on their adspend. Results of this study can also be applicable for online medium.

This is the first study to test the impact of three dimensions of media context on two types of humorous advertisements.

Recent studies have indicated that consumers who knowingly purchase counterfeits could be in love with the brands whose counterfeits they own. Arguably, this love may not be the same as the love felt by individuals who purchase the original brand. Research in this field has not studied how these two love types differ in its genesis and consequences. Therefore, the paper aims to discuss this issue and intends to fill this gap.

This study performed a multi-group analysis using (PLS-SEM) between two groups of customers (real-buyers and fake-buyers) to elucidate the factors that separate fake-love from real-love. This study adopted a combination of convenience sampling and field visits to identify 500 individuals who were classified as either real-buyers or fake-buyers.

The relationship between social-self and brand love is significantly stronger for fake-buyers as compared to real-buyers. However, the relationship between inner-self and brand love is significantly stronger in the case of real-buyers as compared to fake-buyers. Real-buyers tend to be more brand resilient than fake-buyers as their love emanates primarily from the inner-self. Additionally, fake-buyers indulge in +WOM more than real-buyers as their brand love emanates from the social-self.

This is the first study to explore the concept of brand love among consumers who purchase counterfeits in spite of being able to afford the original brands. This is also the first study that is focused on identifying the antecedents and outcomes that separate real-love from fake-love.

The purpose of this paper is to study the transient thermoelastic interactions in a nonlocal rotating magneto-thermoelastic medium with temperature-dependent properties. Three-phase-lag (TPL) model of generalized thermoelasticity is employed to study the problem. An initial magnetic field with constant intensity acts parallel to the bounding plane. Therefore, Maxwell's theory of electrodynamics has been effectively introduced and the expression for Lorentz's force is obtained with the help of modified Ohm's law.

The normal mode technique has been adopted to solve the resulting non-dimensional coupled field equations to obtain the expressions of physical field variables.

For uniformly distributed thermal load, normal displacement, temperature distribution and stress components are calculated numerically with the help of MATLAB software for a copper material and the results are illustrated graphically. Some particular cases of interest are also deduced from the present study.

Influences of nonlocal parameter, rotation, temperature-dependent properties, magnetic field and time are carefully analyzed for mechanically stress free boundary and uniformly distributed thermal load. The present work is useful and valuable for analysis of problem involving thermal shock, nonlocal parameter, temperature-dependent elastic and thermal moduli.

Micro-finance has a significant role in the better performance of micro, small and medium enterprises (MSMEs). This study aims to provide a comprehensive picture of the existing literature on the role of micro-finance and its approaches in MSMEs.

This work performs a bibliometric analysis using a data set of 631 articles collected from the Scopus database. The Bibliometrix R package and Vosviewer are used to conduct performance analysis and scientific mapping. Performance analysis shows the publication trend, key authors, journals and top influential articles. Science mapping through a bibliographic coupling network of documents is prepared to discover the intellectual structure of the field.

This review has identified the four major themes: access to finance and schemes, women empowerment and poverty alleviation, the performance of micro-finance institutions and recent development in micro-financial institutions. With the help of these research themes, the paper also highlights future research agendas.

This paper enriches the understanding of the role of micro-finance services in performance of entrepreneurship with the bibliometric review of top contributors.

Technology advancement has changed how banks operate. Modernizing technology has, on the one hand, made it simpler for banks to do their daily business, but it has also increased cyberattacks. The purpose of the study is to to determine the factors that have the most effects on online fraud detection and to evaluate the advantages of AI and human psychology research in preventing online transaction fraud. Artificial intelligence has been used to create new techniques for both detecting and preventing cybercrimes. Fraud has also been facilitated in some organizations via employee participation.

The main objective of the research approach is to guide the researcher at every stage to realize the main objectives of the study. This quantitative study used a survey-based methodology. Because it allows for both unbiased analysis of the relationship between components and prediction, a quantitative approach was adopted. The study of the body of literature, the design of research questions and the development of instruments and procedures for data collection, analysis and modeling are all part of the research process. The study evaluated the data using Matlab and a structured model analysis method. For reliability analysis and descriptive statistics, IBM SPSS Statistics was used. Reliability and validity were assessed using the measurement model, and the postulated relationship was investigated using the structural model.

There is a risk in scaling at a fast pace, 3D secure is used payer authentication has a maximum mean of 3.830 with SD of 0.7587 and 0.7638, and (CE2).

This study focused on investigating the benefits of artificial intelligence and human personality study in online transaction fraud and to determine the factors that affect something most strongly on online fraud detection. Artificial intelligence and human personality in the Indian banking industry have been emphasized by the current research. The study revealed the benefits of artificial intelligence and human personality like awareness, subjective norms, faster and more efficient detection and cost-effectiveness significantly impact (accept) online fraud detection in the Indian banking industry. Also, security measures and better prediction do not significantly impact (reject) online fraud detection in the Indian banking industry.

This study aims to explore the effect of mass media exposure on women contraceptive adoption. The intent was to show how factors affected contraceptive use, such as education, standards of living, etc., behave differently across the poverty line.

Logistic regression was used to test the effect of exposure of various mass media on contraceptive adoption. Indian Human Development Survey (2005) was used for the analysis. Analysis was performed to compare results across the poverty line.

Television exposure was found to be significant, and it had a strong effect on the likelihood that the family uses contraceptives. Newspaper readership was found significant above the poverty line and insignificant below.

The present study only analyzes cross-sectional data. A longitudinal study would be better suited to determine how these factors affect contraceptive use over time.

The findings of this study can be useful in designing more effective media mix for the communications aimed at increasing contraceptive use in India.

The findings show the divide between the population segments above and below the poverty line. Low education levels, affordability issues and son preferences are the major factors deterring contraceptive use at this level.

This is the first study to separately study the population samples across the poverty line. Compared to previous studies which focuses heavily on one media, this analysis includes other media variables and focuses on a variation of these factors across the poverty line.

This article aims to develop procedures for estimation and prediction in case of Type-I hybrid censored samples drawn from a two-parameter generalized half-logistic distribution (GHLD).

The GHLD is a versatile model which is useful in lifetime modelling. Also, hybrid censoring is a time and cost-effective censoring scheme which is widely used in the literature. The authors derive the maximum likelihood estimates, the maximum product of spacing estimates and Bayes estimates with squared error loss function for the unknown parameters, reliability function and stress-strength reliability. The Bayesian estimation is performed under an informative prior set-up using the “importance sampling technique”. Afterwards, we discuss the Bayesian prediction problem under one and two-sample frameworks and obtain the predictive estimates and intervals with corresponding average interval lengths. Applications of the developed theory are illustrated with the help of two real data sets.

The performances of these estimates and prediction methods are examined under Type-I hybrid censoring scheme with different combinations of sample sizes and time points using Monte Carlo simulation techniques. The simulation results show that the developed estimates are quite satisfactory. Bayes estimates and predictive intervals estimate the reliability characteristics efficiently.

The proposed methodology may be used to estimate future observations when the available data are Type-I hybrid censored. This study would help in estimating and predicting the mission time as well as stress-strength reliability when the data are censored.

Electron beam-based additive manufacturing (EBAM) is an emerging technology to produce metal parts layer-by-layer. The purpose of this paper is to systematically address the research and development carried out for this technology, up till now.

This paper identifies several aspects of research and development in EBAM.

Electron beam has several unique advantages such as high scanning speed, energy efficiency, versatility for several materials and better part integrity because of a vacuum working environment.

This paper provides information on different aspects of EBAM with the current status and future scope.