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The aim of this paper is to describe the methods used to monitor and measure the performance of the data acquisition network deployed in the ATLAS detector at the LHC in CERN, Geneva.

Strict inventory and connectivity control was employed through cross‐correlation of multiple databases. Basic monitoring uses a commercial product and, in addition to that, 2‐D graph display tools were developed to compare and contrast multiple instances of peer performance in terms of through‐put and error. Traffic analysis and diagnostics were improved by displaying at carefully customized aggregate plots. By overlaying geographical, logical and traffic information a 3‐D, system‐wide, visualization system was developed with fly‐through navigation and zoom‐based levels of detail to monitor the 6,000‐port system in quasi‐real time.

The difficulties of automatically detecting unacceptable traffic patterns are presented and both signal‐processing techniques and rules‐based expert systems are suggested as possible solutions to the problem.

It is believed that the scope of the 3‐D visualization program is unique in the field of network monitoring. These techniques should be of value to any manager of a complex network situation.

This is an original piece of research holding the promise to position itself as a pioneering research to showcase the evolving role of Artificial intelligence (AI) in the Indian peer-to-peer lending (P2P) markets. The research effectively uses the holistic multiple case study design to highlight the phenomenon of how AI as the holy grail of investments is proving to be a game changer for the Indian P2P markets.

The study uses a unique research design and curates six Indian licensed Non-Banking Financial Company (NBFC)-P2P as exemplary cases to cull out unique contextual findings on how AI has penetrated the Indian P2P market and road ahead. The research is based on a total of 18 semi-structured interviews of six NBFC-P2P founders and 12 Fintech and P2P industry experts. These interviews were used as alternate sources of evidence for data triangulation along with within case analysis, cross-case analysis to achieve well-rounded results.

The findings have been propounded in the form of unique, context specific results achieved with a bouquet of six NBFC-P2P cases and supplemented through triangulation of data done through multiple industry experts. Findings indicate that AI has reached that tipping point in India.

There is a scope of further refinement of our results with a larger sample size. Therefore future researches could consider conducting a comprehensive study including all existing NBFC-P2Ps in the space.

The research builds perspective for improving the practice in many ways. It shows the way to the other P2Ps still stuck to manual underwriting and see merit in AI-driven processes. It would guide them to embrace new technology driven business models to enhance customer experience and champion service transformation by making financial processes faster and secure. It also highlights how some of the P2Ps are scaling up and improving their visibility and outreach through strategic partnerships.

The research would assist in creating awareness about the unique P2P sector and AI solutions for individual investors, particularly the “new to credit customers” and “thin file borrowers”. AI led initiatives in the P2P space validate a certain amount of sophistication thereby giving sanctity to the sector and would therefore enforce confidence in the minds of new age investors and borrowers.

This original research unravels avenues for novel and untraversed area in the Indian settings where paucity of extant literature and structured data highlighted a research gap and hence necessitated this study. AI as a form of disruptive innovation offering predictive intelligence to the Indian P2P space and empowering it with process efficiency, cost optimization and client engagement is definitely paving the way for an exponential growth in the Indian Fintech Industry.

This study aims to examine the influence of sustainability education in 15 Indian universities and the mediating role of the theory of planned behavior in predicting students’ intentions to start an enterprise supporting sustainability.

The data, which consists of 422 samples, was collected from 15 universities in India. It was analyzed through partial least squares structural equation modeling, which is frequently used for prediction models. The model was further checked for goodness-of-fit using Amos.

The results suggested that personal and subjective norms play a mediating role in shaping the intentions of students to choose entrepreneurship in the sustainability field. Education on sustainability has a significant influence on personal and subjective norms, and these norms further help to develop entrepreneurial intentions.

The study will be helpful for researchers and universities in understanding the importance and stake of including courses on sustainability.

As the results suggest, social norms play a significant role in determining entrepreneurial intentions; therefore, the study will develop a societal culture of start-up education and ethos.

The research is original and one of the first to examine the mediating role of the theory of planned behavior on the relationship between education and intentions to start a sustainable enterprise.

Crowdfunding as an alternative financing method has recently gained ground and become a legitimate and feasible option for supporting creative and cultural projects. Whereas the reasons behind raising money on crowdfunding platforms are easy to understand, there is still a knowledge gap concerning backer’s motivations to fund creative projects. The aim of this study is to investigate backers’ main motivations to contribute to movies and web series crowdfunding projects.

Using PLS-SEM, we analyzed the influence of intrinsic motivation, inner innovativeness, shared values and campaign involvement on perceived trust and perceived risk; the last two were further analyzed in relation to their influence on participation intention (N = 432). Data was collected from Europe and Asia using convenience and snowball sampling through a structured questionnaire.

Perceived trust was found to be positively influenced by intrinsic motivation, shared values and campaign involvement, and perceived risk was surprisingly found to be positively influenced by campaign involvement. Also, perceived trust as generated by platform and crowdfundraiser jointly and perceived risk have a positive influence on participation intention.

This study is a useful tool in the hands of filmmakers and web series producers in the process of crowdfunding campaign design and for the crowdfund platform owner, who will seek to enhance perceived trust in order to attract larger audiences and increase profitability.

This is an original first study to examine the intentions of people from Europe and Asia toward movie and web series crowdfunding projects.

The tourism industry has a huge potential, and the return to its state prior to the COVID-19 pandemic is a large stake for any economy. Tourism e-WOM is an important contributor towards attracting visitors and choosing tourism destinations. Drawing from the value and personality theories, the aim of this study is to investigate the factors determining e-WOM intentions in tourism.

Based on a sample of 469 responses collected online from a random sample of Romanians and using partial least squares structural equation modelling, the authors hereby analyze the influence of economic, emotional, social and altruistic values on e-WOM intentions, and the moderating effects of the big five personality traits (openness, conscientiousness, extraversion, agreeableness and neuroticism) on this relationship.

The results of the study revealed that except economic value, all the exogenous (emotional, social and altruistic) values have a positive influence on the e-WOM intentions. However, the study further suggested that the big five personality traits do not moderate the relationship between the value factors and e-WOM intentions.

The influence of perceived value will be useful for building a stout marketing strategy and to describe e-WOM behaviour among Romanians.

Tourism service providers can promote their services by stressing the various types of value bestowed by their offers.

Although inspired by existing research, the current study is original in that the model used has not yet been proposed before, all the more so for the particular case of the tourism industry.

Crowdfunding has emerged as an alternative financing tool and recently gained attention to foster entrepreneurial dynamism and innovation. The current research has identified the determinants impacting the behavioral intentions of entrepreneurs to use crowdfunding for financing their small and medium-sized enterprises (SMEs).

The current article is based on a cross-sectional research design. This research collected the data of 422 owners and managers of SMEs through self-administered questionnaires in the Indian National Capital Region (NCR). The responses were collected from July 17 to October 27, 2022. This article used “partial least squares structural equation modeling” (PLS-SEM) for data analysis.

This article offered a robust model with a high explanatory value of 66% of behavioral intention and 62.1% variance in crowdfunding use behavior. The finding also highlighted that performance expectancy, social influence, facilitating conditions, trialability and perceived value significantly impact behavioral intention. However, effort expectancy and perceived risk insignificantly influence behavioral intention. Notably, facilitating conditions, trialability and behavioral intention positively impact use behavior.

The results of this study will bridge the gap in empirical research on crowdfunding adoption, shedding light on why entrepreneurs hesitate to adopt crowdfunding for financing. Moreover, these results will offer strategic insights for crowdfunding managers and policymakers, aiding them in making informed decisions.

To the best of the authors' knowledge, this pioneering study built the theoretical framework using three credible technology determinant models. The authors examined crowdfunding-specific contextual factors to improve understanding of the positive effect of technological orientation. This addition assists in strategically arranging entrepreneurs' fundraising conversations more efficiently.

The paper aims to examine Indonesian accounting students’ intention to become sustainable accountants (ISAs) using a modified theory of reasoning action model.

Primary data were collected from 239 respondents from five reputable universities in Semarang, Indonesia, using a structured questionnaire. A random sampling technique was employed and used in selecting respondents. The data were then analyzed using smart PLS (version 3.2.9) to obtain the final results.

The results show university sustainability (US) and attitudes toward sustainability (ATS) affect students' intentions to become ISAs. Knowledge has no direct correlation with students' intention to become ISAs. Path analysis shows a significant correlation between US and students' knowledge, attitudes and intentions regarding sustainability.

This is different from previous studies, which only focused on factors influencing students' intentions to pay attention to sustainability. This study focuses on prospective accountants because, in the future, they will be the technical executors of reporting using path analysis. This study further analyzes the relationship between existing antecedent variables. The results show that sustainability at the university is a variable that can influence all other variables.

The purpose of this study is to identify motivations for the uptake of crowdfunding by micro-entrepreneurs in an emerging economy and the extent to which these vary by entrepreneur characteristics, sector and crowdfunding model.

The authors conduct qualitative analyses of data collected in interviews with 57 micro-entrepreneurs in Morocco, all of whom used crowdfunding in fundraising.

The authors identify six key motives for crowdfunding adoption by micro-entrepreneurs including financing needs, legitimacy seeking, sense of achievement, network-building, entrepreneurial and marketing competence enhancements. They also find evidence for moderation effects of fundraiser characteristics on likelihood of adoption, including gender, age, education, training experience and sectoral affiliation. Furthermore, the authors show that the relative importance of different motives varies by the type of crowdfunding model used.

The original aspects of the study include the examination of adoption motives in an emerging market context and the distinguishing between entrepreneurs’ adoption motives based on different gender, age, education, training experience, sectoral affiliation and crowdfunding model used. Moreover, the authors show that enhancement of competencies is a more dominant motive in the emerging market context than mentioned in earlier studies in developed contexts.

The purpose of this study is to identify groups of employees based on their motivations, detecting the main barriers that may influence their willingness to participate in the pro-environmental initiatives proposed by their employer.

To identify the different groups of employees, an online survey was conducted, and the Chi-square automatic interaction detection algorithm segmentation technique was used with a sample of 483 employees from 9 Latin American universities.

The results allowed us to identify various segments, in which the main obstacle linked to intrinsic motivation is the university culture and, to a lesser extent, the lack of equipment, while for extrinsic motivation, the lack of infrastructure is the most determining factor. Likewise, the results reflect that, compared to the less motivated employees, those who show greater motivation (both intrinsic and extrinsic) are the ones who encounter the greatest barriers, so that the perceptions of the most motivated, as expert observers, help to identify the main obstacles that organisations must remove to promote pro-environmental behaviours among staff members.

The results obtained help to guide the representatives or organisational leaders on the actions that generate the greatest impact in the mitigation of climate change from a motivational approach of behavioural prediction.

This study contributes to a more sustainable society by developing an understanding of how employees react to issues related to climate change. Knowing the perceptions of employees can be a turning point so that other members of society can get involved in pro-environmental behaviours.

Many studies have analysed the intrinsic and extrinsic motivations of employees to engage in pro-environmental behaviours; however, as far as the authors are aware, this has not been analysed from the perspective of barriers to motivation.

The purpose of this empirical study is to enable a better understanding of the construct sustainability-oriented entrepreneurial intentions (SEI) and thereby promote sustainable entrepreneurship. It aims to examine the significance of work values (extrinsic rewards, intrinsic rewards and job security) as antecedents of SEI and to test the mediating effect of three constructs derived from the theory of planned behaviour – attitude towards sustainability, perceived entrepreneurial desirability and perceived entrepreneurial feasibility on the relationships between work values and SEI.

Confirmatory factor analysis and exploratory factor analysis were performed using analysis of moment structures v27 and statistical package for social science v28 on data obtained from the survey of young individuals of India. The respondents were students enrolled in higher education programmes.

All the identified antecedents (extrinsic rewards, intrinsic rewards, job security and theory of planned behaviour constructs) were found to be statistically significant. The partial mediating effect of the theory of planned behaviour constructs was also reported.

This empirical work leads to the theoretical advancement of the emerging construct, SEI, by presenting evidence of the significant individual-level antecedents of the construct. The results lead to recommendations for policymakers and educators to design strategies to strengthen SEI, thereby expanding the adoption of sustainable entrepreneurship.