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Introduction: Data of companies in the Informatics index between 2008 and 2017 fiscal years were analyzed. In the analysis, the following ratios were used as traditional performance evaluation criteria: Return on assets, return on equity, earnings per share, price to earnings ratio, market to book value ratio, and return on sales rate. In addition, economic value added (EVA) was also used. The companies in the Informatics index are divided into sub-sectors according to by field of activity. These sub-sectors are software, communication, and hardware marketing.

Aim: To analyze the power of traditional performance evaluation methods to explain the market value added (MVA).

Method: Regression analysis and autocorrelation tests were used as research methods. These were done with IBM SPSS Statistics 25.

Findings: Models and rates that explain the MVA with the most meaningful results were calculated. These models and ratios are as follows: For the software sub-sector, a market to book value ratio was 77.8%; for the hardware marketing sub-sector, earnings per share was 65.4%; for the communication sub-sector, a market to book value ratio was 92.5%. Market to book value was the independent variable that describes the best MVA value of the two sub-sectors.

Originality of the Study: In this study, the average of the values of all companies in the BIST Informatics Index is not taken. By dividing into sub-sectors, value deterioration from the sector difference is prevented. It is stronger in terms of statistical science.

Implications: Researchers can look for and model the relationship between traditional evaluation criteria and EVA or other value-based evaluation criteria in the same index or other indices.

This paper aims to investigate the influence of moral disengagement, perceived penalty, negative experiences and turnover intention on the intention to violate the established security rules.

The method used involves two stages of analysis, using techniques of structural equation modeling and artificial intelligence with neural networks, based on information collected from 318 workers of organizational information systems.

The model provides a reasonable prediction regarding the intention to violate information security policies (ISP). The results revealed that the relationships of moral disengagement and perceived penalty significantly influence such an intention.

This research presents a multi-analytical approach that expands the robustness of the results by the complementarity of each analysis technique. In addition, it offers scientific evidence of the factors that reinforce the cognitive processes that involve workers’ decision-making in security breaches.

The practical recommendation is to improve organizational communication to mitigate information security vulnerabilities in several ways, namely, training actions that simulate daily work routines; exposing the consequences of policy violations; disseminating internal newsletters with examples of inappropriate behavior.

Results indicate that information security does not depend on the employees’ commitment to the organization; system vulnerabilities can be explored even by employees committed to the companies.

The study expands the knowledge about the individual factors that make information security in companies vulnerable, one of the few in the literature which aims to offer an in-depth perspective on which individual antecedent factors affect the violation of ISP.

The purpose of this paper is to present the entropy analysis of ferrofluid inside a porous space with magnetic force. Homogenous model with second law analysis is also taken into account.

Innovative model has been proposed and designed using control volume finite element method.

Experimental results demonstrate that Bejan number augments with augment of Rayleigh. As Hartmann number rises, exergy loss enhances. Exergy loss increases by increasing Hartmann number, whereas magnetic entropy generation reduces with the decrease of Ha. The proposed model can be used for combustion process and optimizing the performance of energy conversion system like gas turbine.

To the best of authors’ knowledge, this model is reported for the first time.

This paper aims to explore the role of digital inclusive finance (DIF) in influencing household tourism consumption, whether this influence differs between households with different characteristics and determining the intermediate mechanisms that influence the relationship.

The conceptual framework of this study was designed on the basis of the research on DIF in residential consumption practices. The China Household Finance Survey (CHFS) and the Peking University DIF Index were used in the study, which included four years of unbalanced panel data from 25 provinces in China. A fixed effects model was used to validate the conceptual framework and hypothesis testing.

Both hypothesis paths proposed in this study were supported. Results of this study show that DIF has a significant contribution to household tourism consumption and shows a positive impact in terms of both breadth of coverage and depth of use, and that Internet usage is an important mediating mechanism for DIF to promote household tourism consumption. Thus, the use of DIF as a tool can have a positive impact on tourism consumption.

Results of this study will help researchers and tourism businesses understand the relationship and mechanisms at play between DIF and household tourism consumption and leverage financial tools to drive tourism revival. However, the lack of third-country data for comparative analysis may render the conclusions inapplicable to every economy.

This study is the first to examine the relationship between DIF and household tourism consumption, using an “individual + time + region” fixed effects model to conduct specific empirical tests.

This study aims to investigate the micropolar fluid flow through a moving flat plate containing CoFe₂O₄-TiO₂ hybrid nanoparticles with the substantial influence of thermophoresis particle deposition and viscous dissipation.

The partial differential equations are converted to the similarity equations of a particular form through the similarity variables. Numerical outcomes are computed by applying the built-in program bvp4c in MATLAB. The process of flow, heat and mass transfers phenomena are examined for several physical aspects such as the hybrid nanoparticles, micropolar parameter, the thermophoresis particle deposition and the viscous dissipation.

The friction factor, heat and mass transfer rates are higher with an increment of 1.4%, 2.2% and 1.4%, respectively, in the presence of the hybrid nanoparticles (with 2% volume fraction). However, they are declined because of the rise of the micropolar parameter. The imposition of viscous dissipation reduces the heat transfer rate, significantly. Meanwhile, thermophoresis particle deposition boosts the mass transfer. Multiple solutions are developed for a certain range of physical parameters. Lastly, the first solution is shown to be stable and reliable physically.

As far as the authors have concerned, no work on thermophoresis particle deposition of hybrid nanoparticles on micropolar flow through a moving flat plate with viscous dissipation effect has been reported in the literature. Most importantly, this current study reported the stability analysis of the non-unique solutions and, therefore, fills the gap of the study and contributes to new outcomes in this particular problem.

Drawing on the dynamic capabilities theory, the purpose of this study is to empirically explore the moderating role of government support (GS) in the relationship between innovation capability (IC) and small and medium-sized enterprise (SME) performance in times of economic crisis.

The study adopted a descriptive research design and collected data from 234 SMEs drawn from the six geopolitical zones of Nigeria using a self-reported questionnaire. PLS-SEM was performed to test the hypotheses.

The results showed that IC was positively associated with SME performance. Further analysis indicated that GS had a strong positive impact on SME performance and positively moderated the relationship between IC and SME performance.

There is a paucity of studies that specifically explore the moderating role of GS in the relationship between IC and SME performance. This study contributes to the literature on SMEs by demonstrating the moderating effect of GS on the relationship between IC and SME performance in times of economic crisis. The study offers valuable insights into the vital role played by IC and GS in times of economic crisis.

The purpose of this study is to fill the gap by researching the direct effects of media and personal characteristics on online participation in climate change, indirect effects when mediated by interpersonal communication and personal characteristics as predictors of media communications as sources of information about climate change.

A structured questionnaire is distributed to collect data about the uses of communication sources and online responses toward climate change by using a quota sampling technique. The structural equation modeling by using Smart PLS 4 is used to explore the effects’ size.

Small levels of direct and indirect effects are found. Direct effects are found in online newspapers, YouTube, television news, personal relevance toward climate change and political interest in online participation in climate change. Indirect effects are found of WhatsApp on online climate participation through interpersonal communication. Personal relevance toward climate change has motivated respondents to take information about climate change from Facebook. Climate skepticism is found among respondents who have received information from television news/talk shows, printed newspapers and WhatsApp.

University teachers in Pakistan will have to work on educational strategies to increase the knowledge of university students about energy generation through carbon and renewable energy sources.

The results of this study highlight the communicative-cultural dimensions of online discourse about climate change in the context of the less-researched country of Pakistan. This is the first study of researchers’ knowledge that comprehensively defines the digital media ecology in the context of climate change considering Pakistan.

This study aims to determine the direct and mediating effects of time pressure, work–family conflict, role ambiguity, work stress and audit quality reduction behavior.

The sample selection in this research is done by purposive sampling method based on the criteria specified by the researcher. In addition, random sample selection does not necessarily produce a sample that can represent auditors at all levels and types of Kantor Akuntan Publik (KAP). This research uses quantitative analysis with approach of structural equation modeling (SEM) method to analyze direct and indirect effect. The main method for data analysis is SEM.

Based on the results of the research note that time pressure, work–family conflict and role ambiguity each have a significant effect on work stress. In testing the direct effect on audit quality reduction behavior, only time pressure influential significant, while work–family conflict and role ambiguity not significant. However, in the test of indirect influence/influence of mediation, there is a significant influence on all tests that time pressure, work–family conflict and role ambiguity each have a significant effect on audit quality reduction behavior through work stress.

The originality of this paper is in SEM used by involving new variable which is work–family conflict. The research location is public accounting offices (KAP) in Indonesia.

The study attempted to gauge the relative effectiveness of celebrity and product image match-up in comparison to non-celebrity attractive endorsers for two distinct high involvement situations. Also, due to the expected demographic diversity among target consumers, the study aimed at assessing the impact of respondent's age and gender on the effectiveness of image match-up.

Building on the three-order hierarchy model, two experiments were conducted (utilising celebrity and non-celebrity endorsers) for two high involvement hierarchies, i.e. standard learning and dissonance/attribution. Through fictitious print advertisement, the experiments assessed the effectiveness of the match-up in terms of consumer attitudes towards advertisement and brand and intentions to purchase.

The match-up consistently and significantly outperformed non-celebrity attractive endorser in case of standard learning hierarchy. The same conclusion was not established for dissonance/attribution hierarchy due to the lack of significant results. The findings also suggest that the match-up subdues the impact of consumer's gender and age on consumer attitudes only in case of standard learning hierarchy.

The study provides interesting theoretical implication by challenging a widely held postulation about the applicability of celebrity and product match-up under high involvement.

The research provides the practitioners with a better understanding of important issues, mainly, whether to use a celebrity endorser and selecting the right celebrity, especially if high involvement is expected.

Previous research concerning celebrity endorsements has largely considered consumer involvement as unitary, i.e. either high or low. However, the multifaceted aspect of consumer involvement is well established in the field of consumer psychology. The present research, therefore, is a pioneering attempt as it studies the effectiveness of match-up for two distinct high involvement situations. Moreover, unlike the majority of previous studies that have focused on the performance of “celebrity match” versus “celebrity mismatch”, the impact of match-up was studied in comparison to a non-celebrity attractive endorser.

Innovative health-promoting approaches of the era have verified phytoceutics as one of the prime therapeutic tools to alleviate numerous health-related ailments. The purpose of this paper is to probe the nutraceutic potential of ginger flowers and leaves against hyperglycemia.

The aqueous extracts of ginger flowers and leaves were observed on Sprague Dawley rats for 8 weeks. Two parallel studies were carried out based on dietary regimes: control and hyperglycemic diets. At the end of the experimental modus, the overnight fed rats were killed to determine the concentration of glucose and insulin in serum. The insulin resistance and insulin secretions were also calculated by formulae by considering fasting glucose and fasting insulin concentrations. Furthermore, the feed and drink intakes, body weight gain and hematological analysis were also carried out.

In streptozotocin-induced hyperglycemic rats, the ginger flowers extract depicted 5.62% reduction; however, ginger leaves extract reduced the glucose concentration up to 7.11% (p = 0.001). Similarly, ginger flowers extract uplifted the insulin concentration up to 3.07%, while, by ginger leaves extract, the insulin value increased to 4.11% (p = 0.002). For the insulin resistance, the ginger flower showed 5.32% decrease; however, the insulin resistance was reduced to 6.48% by ginger leaves (p = 0.014). Moreover, the insulin secretion increased to 18.9% by flower extract and 21.8% by ginger leave extract (p = 0.001). The feed intake and body weight gain increased momentously by the addition of ginger flowers and leaves; however, the drink intake and hematological analysis remained non-significant by the addition of ginger parts.

Conclusively, it was revealed that leaves have more hypoglycemic potential as compared to flowers.