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The research surveyed the competency of information literacy of senior high school students in Fiji. This is to evaluate the strong predictors of information literacy.

The study adopted a survey research design whereby a five-point Likert scale self-reporting questionnaire was administered to Year 12 and Year 13 secondary school students. The data were analysed using the Statistical Package for the Social Sciences (SPSS) software-descriptive statistics of calculating the mean and standard deviation, a correlation and linear regression analysis to deduce the strong predictors of information literacy.

The study showed that 81% of the students surveyed were average to above average information literate. The strong predictors of information literacy were the ability of an individual to collaborate and share safely online, the ability to share files securely and the ability to access the credibility of any resource assessed on the digital platform.

The current study evaluates information literacy of a cohort – stating how information literate the participants are, comprehending the strong predicators of information literacy so that there is an appropriate and effective implementation of interventions for the desired improvements.

The results can be used to improve information literacy of students at all levels of education in the Fiji Islands.

If the youths are information literate they will be able to effectively contribute towards the development of their economy. Since the work environment today is technology oriented and involves a lot of information, being information literate means knowing how to use the information and differentiate between good and bad information. Hence, contributing effectively towards whatever task is performed.

This research if the first ever research done on evaluating the information literacy of individuals in Fiji.

This paper aims to explore the key factors which influence whistleblowing intentions of teachers working with higher education institutions (HEIs) in India. Both internal and external whistleblowing intentions of the HEI teachers are studied by examining their relative intentions to report a potential wrongdoing to the authorities within the management of the institution and to the external statutory bodies. The reporting intentions of the HEI teachers are measured through the use of three vignettes related to academic frauds. Whistleblowing intentions are proposed to be determined by the individual, organizational and situational factors.

Survey method of descriptive research design has been used to obtain the primary data regarding the individual, organizational and situational variables deemed to influence HEI teachers’ internal and external whistleblowing intentions. A self-administered structured questionnaire is used as survey instrument for primary data collection. The respondents’ internal and external whistleblowing intentions are measured through the use of three vignettes related to academic frauds. Non-parametric tests such as Mann–Whitney U test, Kruskal–Wallis test and Spearman correlations have been used to test the research hypotheses.

The study has found that the HEI teachers are more likely to blow the whistle internally if there is a proper communication channel in their organization for reporting wrongdoings. However, they do not hesitate to blow the whistle externally in the absence of internal reporting channel, especially in those cases of wrongdoings where they perceive the cost of reporting to be high. The high status of the wrongdoer and high costs of reporting discourage the teachers to blow the whistle internally. However, if the wrongdoer holds a very powerful position in the organization, then the teachers prefer to report his wrongdoing to external agencies as they are afraid of the likely negative repercussions of reporting against him internally. In case of serious wrongdoings, the teachers intend to blow the whistle within the organization rather than going to external agencies probably because they do not want to spoil the image of their organization in the external world.

The first limitation is that because of the unavailability of pre-tested vignettes in the context of academic frauds, the study has used three vignettes which have been developed on the basis of few case studies. Second, the results showed the existence of social desirability bias across all the three vignettes. Also, the study has been conducted among teaching professionals; therefore, the findings cannot be generalized to the professionals of other sectors.

The findings of the study may bring awareness to the board of management of HEIs, regarding the importance of whistleblowing in their educational institutions. They should encourage the teachers working with their institutions to report the wrongdoings internally as external reporting may cause damage to their institute’s reputation. Proper reporting mechanisms should be designed and shared with the employees as a part of institutional culture.

The Whistle Blowers Protection Act passed by the Parliament of India in 2011 should be amended to include the private sector employees, especially the teachers working in higher education sector. This will encourage the HEI teachers to report the academic frauds fearlessly which will put a serious check on the growing number of frauds and wrongdoings in the education sector.

Previous research studies have discussed the factors influencing whistleblowing intentions in the context of various non-academic organizations. However, existing research has not adequately provided a better understanding of the influencing factors of whistleblowing intentions in higher education sector. The present paper addresses this gap by empirically examining the key factors which influence HEI teachers’ intentions of blowing the whistle and reporting the wrongdoings occurring in their institutions, in Indian context. An attempt has been made to identify the influencing factors of both internal and external whistleblowing intentions by using three different vignettes related with academic frauds.

The environment and human health can be jeopardized if E-waste is not properly managed. Global E-waste production continued to rise as a result of rapid technological advancement and increased purchasing power among the global population. One of the possible sustainable methods for managing E-waste is to recycle E-waste. This study aims to find out which demographic factor has the most influence on local residents' understanding of E-waste recycling in Selangor. Selangor is one of Peninsular Malaysia's wealthiest states, with a wide range of ethnic and racial backgrounds among its residents. In 2019, 779 people took part in a survey to learn more about local residents' understanding of E-waste recycling and the social and demographic factors influencing that understanding. Three characteristics of a person's background stand out: their educational attainment, the nature of their job, and the amount of money they make. The p-value for each of these variables was less than.05. Respondents with the following social backgrounds have the best understanding of E-waste recycling: higher education, employment in the private sector, and a monthly income between RM1,501 and RM3,000. The government and other stakeholders, such as non-profits and the private sector, should take more comprehensive and coordinated actions to ensure that the public is informed about E-waste recycling.

In cultivation, early harvest offers farmers an opportunity to increase production while decreasing the chances of lower crop production rates, ensuring that the economy remains balanced. The significant reason is to predict the disease in plants and distinguish the type of syndrome with the help of segmentation and random forest optimization classification. In this investigation, the accurate prior phase of crop imagery has been collected from different datasets like cropscience, yesmodes and nelsonwisc . In the current study, the real-time earlier state of crop images has been gathered from numerous data sources similar to crop_science, yes_modes, nelson_wisc dataset.

In this research work, random forest machine learning-based persuasive plants healthcare computing is provided. If proper ecological care is not applied to early harvesting, it can cause diseases in plants, decrease the cropping rate and less production. Until now different methods have been developed for crop analysis at an earlier stage, but it is necessary to implement methods to advanced techniques. So, the detection of plant diseases with the help of threshold segmentation and random forest classification has been involved in this investigation. This implemented design is verified on Python 3.7.8 software for simulation analysis.

In this work, different methods are developed for crops at an earlier stage, but more methods are needed to implement methods with prior stage crop harvesting. Because of this, a disease-finding system has been implemented. The methodologies like “Threshold segmentation” and RFO classifier lends 97.8% identification precision with 99.3% real optimistic rate, and 59.823 peak signal-to-noise (PSNR), 0.99894 structure similarity index (SSIM), 0.00812 machine squared error (MSE) values are attained.

The implemented machine learning design is outperformance methodology, and they are proving good application detection rate.

The purpose of this study is to evaluate student visual literacy skills using the newly designed visual literacy framework and visual literacy (VL) scale.

It includes a newly designed framework, a self-reporting questionnaire and a scale to evaluate an individual's VL skills and overall competency. The self-reporting questionnaire consists of 13 items with a five-point Likert scale.

The newly developed VL skill scale assessed the Fiji students’ competency (i.e. identify, understand, evaluate and communicate using visuals). The mean for the 13 items on VL skills showed average results, but 46.33% recorded high visual literacy competencies. The multiple linear regression analysis outcomes showed all 13 skills demonstrated significant contributions to becoming visually literate.

The limitation of this study is that the questionnaire is self-reporting, so the evaluation can be highly rated. The implications are that relevant stakeholders will be able to devise strategies and content to improve visual literacy in Fiji.

Images are playing an important role today, especially after COVID-19, which forced the education system to go online. Online learning involves a lot of visuals, and as such, visual literacy is important to students so that they can successfully learn online. This paper brings out the important aspects of visual literacy, which needs to be understood by the students.

In society, everything involves visuals. This paper introduces a visual literacy scale and a visual literacy tool to measure the visual competencies of individuals. If people understand the components of visual literacy, then visual competencies of the people will also improve.

To the best of the authors’ knowledge, this paper is the first one on evaluating visual literacy competencies in Fiji and also in the South Pacific. The visual literacy tool is also new to the world.

The purpose of this paper is to analyse health service supply chain systems. A great deal of literature is available on supply chain management in finished goods inventory situations; however, little research exists on managing service capacity when finished goods inventories are absent.

System dynamics models for a typical service‐oriented supply chain such as healthcare processes are developed, wherein three service stages are presented sequentially.

Just like supply chains with finished goods inventory, healthcare service supply chains also show dynamic behaviour. Comparing options, service reduction, and capacity adjustment delays showed that reducing capacity adjustment and service delays gives better results.

The study is confined to health service‐oriented supply chains. Further work includes extending the study to service‐oriented supply chains with parallel processing, i.e. having more than one stage to perform a similar operation and also to study the behaviour in service‐oriented supply chains that have re‐entrant orders and applications. Specific case studies can also be developed to reveal factors relevant to particular service‐oriented supply chains.

The paper explains the bullwhip effect in healthcare service‐oriented supply chains. Reducing stages and capacity adjustment are strategic options for service‐oriented supply chains.

The paper throws light on policy options for managing healthcare service‐oriented supply chain dynamics.

The aim of the study is to assess the effect of employer branding dimension of training and development on the retention of employees through the mediation of organizational identification (OI).

The study is based on data collected from the Indian IT employees. Regression and PROCESS Macro were used to test the hypotheses.

The regression results revealed that employer branding attribute of training and development influence employee retention (ER). Second, training and development influences OI and ER. Third, the relationship between training and development and ER is mediated by OI.

The research provides a new direction, strategizing a brand around development value is effective to enhance OI and their intent to stay. The major limitation is that the data is collected from a single source that may result in the issue of common method biasness.

The paper focuses on measuring the effects of training and development on the retention of employees through the mediation of OI, for which studies are very limited.

Textual information about restaurants, such as online reviews and food categories, is essential for consumer purchase decisions. However, previous restaurant recommendation studies have failed to use textual information containing essential information for predicting consumer preferences effectively. This study aims to propose a novel restaurant recommendation model to effectively estimate the assessment behaviors of consumers for multiple restaurant attributes.

The authors collected 1,206,587 reviews from 25,369 consumers of 46,613 restaurants from Yelp.com. Using these data, the authors generated a consumer preference vector by combining consumer identity and online consumer reviews. Thereafter, the authors combined the restaurant identity and food categories to generate a restaurant information vector. Finally, the nonlinear interaction between the consumer preference and restaurant information vectors was learned by considering the restaurant attribute vector.

This study found that the proposed recommendation model exhibited excellent performance compared with state-of-the-art models, suggesting that combining various textual information on consumers and restaurants is a fundamental factor in determining consumer preference predictions.

To the best of the authors’ knowledge, this is the first study to develop a personalized restaurant recommendation model using textual information from real-world online restaurant platforms. This study also presents deep learning mechanisms that outperform the recommendation performance of state-of-the-art models. The results of this study can reduce the cost of exploring consumers and support effective purchasing decisions.

关于餐厅的文本信息, 如在线评论和食品分类, 对于消费者的购买决策产生至关重要。然而, 先前的餐厅推荐研究未能有效利这些文本信息去预测消费者喜好。本研究提出了一种新颖的餐厅推荐模型, 以有效估计消费者对多个餐厅属性的评估行为。

我们从 Yelp.com 收集了来自25,369名消费者对 46,613 家餐厅的 1,206,587 条评论。利用这些数据, 我们通过结合消费者身份和在线消费者评论生成了消费者偏好向量。然后, 我们结合了餐厅身份和食品分类来生成餐厅信息向量。最后, 考虑到餐厅属性向量, 本研究调查了消费者偏好和餐厅信息向量之间的非线性交互关系。

我们发现, 所提出的推荐模型相比于之前最先进的模型表现出更优秀的性能, 这表明结合消费者和餐厅的各种文本信息是预测消费者喜好的基本因素。

据我们所知, 这是第一项利用来自真实在线餐厅平台的文本信息开发个性化餐厅推荐模型的研究。本研究还提出了胜过最先进模型的深度学习机制。本研究的结果可以降低探索消费者行为的成本并支持有效的购买决策。

Unhealthy (vice) on-the-go (OTG) dietary practices result in potentially serious health consequences. However, research on encouraging healthy eating intentions for OTG consumption is scarce. This study aims to fill this gap by investigating the role of message framing and source expertise in encouraging the healthy eating intention for OTG consumption.

Two scenario-based experiments were conducted. Study 1 collected data from 136 Australian OTG consumers to examine the effectiveness of message framing (gain vs loss) in encouraging healthy OTG consumption. Study 2 collected data from 178 Australian OTG consumers to examine the interaction effects of message framing and source credibility on encouraging healthy OTG consumption.

Gain-framed messages were more effective than loss-framed messages in encouraging healthy eating for OTG consumption. This difference would be significant only if the gain-framed messages were from a high expert source rather than from a low expert source.

The study is a cross-sectional survey of Australian OTG consumers. Replicating this study in other countries may generalise the study’s findings.

Practically, this study provides insights to marketers and other relevant stakeholders to design effective advertising messages to encourage healthy eating for OTG consumption.

This is the pioneering study investigating the impact of message framing and source credibility in encouraging healthy eating for OTG consumption.

The significance of digital literacy in online social capital accumulation and surviving the contemporary society is widely recognised. Despite that the current generation is regarded as “digital natives”, their levels and nature of digital literacy vary. To generate educational insights, this study investigates the type(s) of digital literacy which are mostly related to the online social capital accumulation, and how one’s socio-economic background affects the connection between digital literacy and online social capital.

A total of 1,747 participants aged 13–30 were invited to take part in a quantitative study. Spearman's rank correlation analysis, hierarchical regression analysis and mediation analyses were performed to investigate the relationship between participants' demographic background, engagement in the online platforms, digital literacy and online social capital.

The results showed that the creative dimension of digital literacy was mostly significantly predictive of online social capital accumulation. Also, education significantly affected the relationship between the creative dimension of digital literacy and online social capital more than demographic background.

Results suggest that education helps enhance digital literacy, offsetting the influence of socio-demographic background. The author examines the implications of how to implement training programmes in youth settings to enhance students' digital literacy and benefit those who are marginalised.