Search results

Generally, Internet-of-Things (IoT) is quite small sized with limited resource and low cost that may be vulnerable for physical and cloned attacking. All kind of authentication protocols designed to IoT devices are robust despite which it is prone to attack by hackers. In order to resolve this issue, there are various researches that have introduced the best method for obscuring the cryptographic key. However, the studies have majorly aimed to generate the key dynamically from noise data by Fuzzy Extractor (FE) or Fuzzy Commitment (FC). Hence, these methods have utilized this kind of data with noisy source namely Physical Unclonable Function (PUF) or biometric data. There are several IoT devices that get operated over undermined environment in which biometric data is not available but the technique utilized with biometric data can't be used to undermined IoT devices. Even though, the PUF technique is implemented for the undermined IoT devices this is quite vulnerable over physical attacks inclusive of accidental move and theft.

This paper has proposed an advanced scheme in fuzzy commitment over IoT devices which is said to be Improved Two Factor Fuzzy Commitment Scheme (ITFFCS) and this proposed ITFFCS has used two kind of noisy factors present inside and outside the IoT devices. Though, an intruder has accomplished the IoT devices with an access to the internal noisy source, the intruder can't select an exact key from the available data which have been compared using comparable module as an interest.

Moreover, the proposed ITFFC method results are compared with existing Static Random Accessible Memory (SRAM) PUF in enterprises application which illustrated the proposed ITFFC method with PUF has accomplished better results in parameters such as energy consumption, area utilization, False Acceptance Ratio (FAR) and Failure Rejection Ratio (FRR).

Thus, the proposed ITFFCS-PUF is comparatively better than existing method in both FAR and FRR with an average of 0.18% and 0.28%.

This study derives a new framework that comprehensively assesses management quality along four dimensions, namely Sporting Success; Financial Performance; Fan Welfare Maximization; and Leadership and Governance. Filled with measurable key performance indicators (KPIs), these dimensions serve the purpose of objectively quantifying the relevant success factors. Ultimately, the performance in all dimensions indicates a football club's management quality.

The study relies first on a review of the literature in the field of both general management and sports. Second, the authors adapt the balanced scorecard framework to the field of professional football and use a set of KPIs to assess the management quality of the Bundesliga teams over the seasons 2016/17 and 2017/18. Third, the authors validate the relative weights of the four dimensions composing the so-called “Football Management Quality score” (i.e. FoMa Q-Score) using expert interviews.

Two movements characterize the score development in 2017/18 compared to 2016/17: first, scores appear more contracted than previously. Second, both average and median scores improved, suggesting a general improvement in the management quality within the Bundesliga.

To the best of the authors’ knowledge, this is the first exploratory study deriving and measuring relevant key criteria for managing football clubs and illustrating the findings in a ranking. The aim of this study is to establish a model that impacts both academia and practice. By utilizing existing management literature and adjusting it to football particularities, the newfound knowledge begins to close the gap in sport management literature.

The purpose of the study is to investigate the factors responsible for the utilisation of safe motherhood practices under the Government of India (GOI)-run maternal health programme Janani Suraksha Yojana (JSY).

Data for the survey were collected from 435 expectant mothers registered under JSY from seven districts of western Uttar Pradesh, India. Based on the existing theories of behaviour change and the social marketing framework, a model of antecedents of adoption of safe motherhood practices was tested out empirically.

The results suggested that controlling for demographic variables such as age, education, number of children, intention to follow safe motherhood practices, maternal health self-efficacy, attitude towards safe motherhood, life satisfaction and facilitating conditions all contributed towards the adoption of safe motherhood practices. However, facilitating conditions moderated the relationship between intention to follow safe motherhood practices and adoption of safe motherhood practices.

The study focused only on maternal health, excluding child health under JSY.

The study findings suggest that social marketers should focus on the individual (micro)- as well as programme (macro)-level factors to bring about systemic behaviour change.

The adoption of safe motherhood practices will result in a reduction of the maternal mortality rate. This will improve the overall health of mother and child.

The JSY programme is targeted at promoting safe motherhood practices among poor women in the reproductive age group from India. The adoption of safe motherhood practices will result in less maternal mortality and contribute to the well-being of the family.

The aim of this research is to investigate the factors influencing the adoption of digital payments by the semi-rural women in India.

The study extended the factors of unified theory of acceptance and use of technology UTAUT-2, with perceived credibility and self-determination theory to understand the use behaviour of the rural Indian women. The study checked the mediating role of some constructs besides testing the direct relationship. The study was conducted in the rural parts of the adjoining areas of Delhi, where the women from different states, education and financial background live. The research model was empirically tested on 568 respondents using structural equation modelling (SEM) technique.

The research model was able to explain 72.6% variance in the user behaviour variable. Effort expectancy, habit, facilitating conditions as well as perceived competence emerged out to be significant determinants of use behaviour. Besides these direct relationships, two constructs, habit as well as facilitating conditions were found to partially mediate the relationship between behavioural intention and behaviour.

This study provides some very critical clues for the companies providing digital payment services, by highlighting the significant factors explaining the technology adoption by semi-rural women. The companies must devise suitable marketing strategies to inculcate trust in mind of perspective customers towards their companies as well as the service provided by them. The role of simple digital platform, that is easy to learn and use, is also an important element in determining the technology adoption.

HR analytics is a process for systematic computational analysis of data or statistics. It discovers, interprets and communicates significant patterns in data to enable evidence-based HR research and uses analytical insights to help organizations achieve their strategic objectives. However, its adoption and utilization among HR professionals remain a subject of concern. This study aims to determine the reasons that facilitate or inhibit the acceptance of HR analytics among HR professionals in the banking, financial services and insurance (BFSI) sector.

A sample of 387 HR professionals in BFSI firms across India was collected through non-probabilistic purposive sampling. Structural equation modeling was applied to analyze the association between predetermined variables. In addition, the predictive relevance of “Data Availability” was analyzed using hierarchical regression.

The results revealed that data availability, hedonic motivation and performance expectancy positively influenced behavioral intention (BI). In contrast, effort expectancy, social influence and habit had an insignificant effect on BI. Also, facilitating conditions (FCs), habit, BI achieved a variance of 60% in HR analytics use. The use behavior of HR analytics was significantly influenced by FCs and BIs.

This study focuses on insights into the elements that influence HR analytics adoption, revealing additional light on success drivers and grey areas for failed adoption.

This research adds to the body of knowledge by identifying factors that hinder the adoption of HR analytics in Indian organizations and signifies the relevance of easy accessibility and availability of data for technology adoption.

The study applied the Unified Theory of Technology Acceptance and Use Theory 2 (UTAUT2) to predict blended learning acceptance by students in universities in Zimbabwe. Blended learning is a heterogeneous mode of teaching and learning that combines face-to-face (F2F) and online modes. Owing to advances in technology, and recently, the advent of pandemics, such as COVID-19, the need for multimodal teaching approaches, such as blended learning, to enhance access to education in universities has become very important.

A quantitative approach that used a structured questionnaire for data collection from a sample of 432 postgraduate students was used. Data validation was done using confirmatory factor analysis (CFA). The structural equation modelling technique was used for data analysis.

Results showed that out of the seven factors of the UTAUT2, the factors such as performance expectancy, effort expectancy, social influences, facilitating conditions and hedonic motivation significantly and positively influenced the behavioural intentions of students in universities to accept blended learning. On the other hand, habit and price value did not significantly influence university students' behavioural intentions to accept the bended learning mode. It was further shown in the study that behavioural intentions significantly influenced the acceptance of blended learning by university students. In light of the above results, it was concluded that the UTAUT2 could be used to predict the acceptance of blended learning by university students.

The main study limitation was that it was only carried out at universities that had information and communication technology (ICT) infrastructure challenges owing to the fact that the economic situation in Zimbabwe is depressed. Limited ICT infrastructure in the universities might have had some impact on the nature of behavioural intentions of students to accept blended learning as a learning mode. Further research could be carried out in countries with better economies that are able to fund ICT infrastructures of their universities and to establish whether the results of the current study could either be confirmed, disconfirmed or enriched.

The paper suggests that universities need to increase investment in ICT infrastructure as well as in capacitating students with the necessary ICT skills for the effective use of institutional ICT when learning using the blended learning mode. Without adequate and appropriate ICT infrastructure as well as necessary ICT skills, students may develop low motivation levels and negative attitudes towards blended learning, which may eventually may affect their acceptance of the learning mode.

There is no known study that has been conducted using the UTAUT2 to establish antecedents of behavioural intentions of students to accept blended learning in the context of Zimbabwean universities. This study therefore opens new ground on factors influencing the acceptance of blended learning in the context of Zimbabwean universities. Also, the results showed that habit and price value do not significantly contribute to the behavioural intentions of university students to accept blended learning, which is not consistent with findings of past studies. This inconsistency opens new opportunities for further studies on the conditions under which these two factors can be used to significantly contribute to the development of behavioural intentions of students to accept blended learning.

The purpose of this paper is to estimate the impact of financial derivatives on profitability in agricultural banks. Agricultural banks are new to the derivatives market and are unlikely to use financial derivatives for risk speculation. Thus, the paper also provides evidence on the effectiveness of financial derivatives as a risk management tool in small commercial banks.

The authors use call report data from Federal Reserve Bank of Chicago for 2006, 2008 and 2010 to estimate an endogenous switching model to evaluate how profitability of derivatives user and non‐user agricultural banks is affected by different risk factors. This approach allows banks' endogenous choices to use financial derivatives to be accounted for, and to build a counterfactual analysis – what user banks' profitability would have been if they did not participate in the derivatives activities.

Results indicate that risk management through financial derivatives in agricultural banks is effective and profitability of derivatives user agricultural banks is less affected by credit risk and interest risk in the sample period. Derivatives' activities have improved agricultural banks' profitability and these impacts were increasing over years. In particular, in 2010 without use of derivatives, user banks would have had one‐third lower profitability.

This research is the first to study the role of derivatives in agricultural banks and also provides empirical evidence on the effectiveness of risk management through financial derivatives in agricultural banks.

This paper seeks to examine the role of framing effects and the third‐party's need for consistency in intervention strategy selection in managerial dispute intervention. The objective is to move research forward by adopting a decision‐making perspective of dispute intervention and examining the role of framing in such a context.

A scenario‐based experimental approach was used and data were collected on 318 intervention cases from 106 students majoring in business, and enrolled in a medium‐sized public university.

Results suggest that framing does influence the selection of intervention strategies to some extent, but the third‐party's need for consistency between his/her preferred settlement and the actual final settlement plays a bigger role in influencing strategy selection.

This study higlights the merits of adopting a decision‐making perspective to understand managerial dispute intervention and points to the need for extending and testing more of the key concepts from that area of research.

The results indicating support for a need for consistency on the part of managerial third‐parties as well as the influence of framing underscore the need for managers to be aware of these factors influencing their conflict management behaviours and to strive to “rise above the fray”.

The results of this paper challenge the conventional view that third‐parties in disputes are generally more objective and can see the “big picture”, and represents a valuable first step towards gaining a better understanding the role of cognitive biases and heuristics in managerial dispute intervention.

In the global migration crisis COVID 19 had devastating consequences. Workers were confined to their locations due to travel restrictions and working from home became “working away from home” for millions of migrant workers. Mobile financial services emerged as key to livelihood of the mobile remittance recipients. It is essential for service providers to gain insights of users' motives to use mobile remittance services.

This study proposed the model by extending unified theory of acceptance and use of technology (UTAUT) model and integrating by perceived cost (PC) and perceived security (PS). Based on the survey data (n = 344) the proposed model was tested using analysis of variance (ANOVA) analysis.

The findings reveal that performance expectancy, effort expectancy, PC and PS affect the users' behavioral intention (BI) to use mobile remittance applications. Social influence nonsignificantly affects the BI and there is no significant influence of facilitating conditions on user behavior.

The volume of migrant workers preCOVID 19 reached 3.5% of the global population, the shear number of unprotected workers plunged into devastation by the COVID-19 impact is huge to cause an economic meltdown. Under the pandemic crisis conditions, the findings provide several practical implications on how service providers could improve their products and services to increase mobile remittance applications usage.