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1 – 10 of 11Amit Kumar Yadav and Dinesh Kumar
Each individual needs to be vaccinated to control the spread of the COVID-19 pandemic in the shortest possible time. However, the vaccine distribution with an already strained…
Abstract
Purpose
Each individual needs to be vaccinated to control the spread of the COVID-19 pandemic in the shortest possible time. However, the vaccine distribution with an already strained supply chain in low- and middle-income countries (LMICs) will not be effective enough to vaccinate all the population in stipulated time. The purpose of this paper is to show that there is a need to revolutionize the vaccine supply chain (VSC) by overcoming the challenges of sustainable vaccine distribution.
Design/methodology/approach
An integrated lean, agile and green (LAG) framework is proposed to overcome the challenges of the sustainable vaccine supply chain (SVSC). A hybrid best worst method (BWM)–Measurement of Alternatives and Ranking According to COmpromise Solution (MARCOS) methodology is designed to analyze the challenges and solutions.
Findings
The analysis shows that vaccine wastage is the most critical challenge for SVSC, and the coordination among stakeholders is the most significant solution followed by effective management support.
Social implications
The result of the analysis can help the health care organizations (HCOs) to manage the VSC. The effective vaccination in stipulated time will help control the further spread of the virus, which will result in the normalcy of business and availability of livelihood for millions of people.
Originality/value
To the best of the author's knowledge, this is the first study to explore sustainability in VSC by considering the environmental and social impact of vaccination. The LAG-based framework is also a new approach in VSC to find the solution for existing challenges.
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Assad Mehmood, Kashif Zia, Arshad Muhammad and Dinesh Kumar Saini
Participatory wireless sensor networks (PWSN) is an emerging paradigm that leverages existing sensing and communication infrastructures for the sensing task. Various environmental…
Abstract
Purpose
Participatory wireless sensor networks (PWSN) is an emerging paradigm that leverages existing sensing and communication infrastructures for the sensing task. Various environmental phenomenon – P monitoring applications dealing with noise pollution, road traffic, requiring spatio-temporal data samples of P (to capture its variations and its profile construction) in the region of interest – can be enabled using PWSN. Because of irregular distribution and uncontrollable mobility of people (with mobile phones), and their willingness to participate, complete spatio-temporal (CST) coverage of P may not be ensured. Therefore, unobserved data values must be estimated for CST profile construction of P and presented in this paper.
Design/methodology/approach
In this paper, the estimation of these missing data samples both in spatial and temporal dimension is being discussed, and the paper shows that non-parametric technique – Kernel Regression – provides better estimation compared to parametric regression techniques in PWSN context for spatial estimation. Furthermore, the preliminary results for estimation in temporal dimension have been provided. The deterministic and stochastic approaches toward estimation in the context of PWSN have also been discussed.
Findings
For the task of spatial profile reconstruction, it is shown that non-parametric estimation technique (kernel regression) gives a better estimation of the unobserved data points. In case of temporal estimation, few preliminary techniques have been studied and have shown that further investigations are required to find out best estimation technique(s) which may approximate the missing observations (temporally) with considerably less error.
Originality/value
This study addresses the environmental informatics issues related to deterministic and stochastic approaches using PWSN.
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Marko Kureljusic and Erik Karger
Accounting information systems are mainly rule-based, and data are usually available and well-structured. However, many accounting systems are yet to catch up with current…
Abstract
Purpose
Accounting information systems are mainly rule-based, and data are usually available and well-structured. However, many accounting systems are yet to catch up with current technological developments. Thus, artificial intelligence (AI) in financial accounting is often applied only in pilot projects. Using AI-based forecasts in accounting enables proactive management and detailed analysis. However, thus far, there is little knowledge about which prediction models have already been evaluated for accounting problems. Given this lack of research, our study aims to summarize existing findings on how AI is used for forecasting purposes in financial accounting. Therefore, the authors aim to provide a comprehensive overview and agenda for future researchers to gain more generalizable knowledge.
Design/methodology/approach
The authors identify existing research on AI-based forecasting in financial accounting by conducting a systematic literature review. For this purpose, the authors used Scopus and Web of Science as scientific databases. The data collection resulted in a final sample size of 47 studies. These studies were analyzed regarding their forecasting purpose, sample size, period and applied machine learning algorithms.
Findings
The authors identified three application areas and presented details regarding the accuracy and AI methods used. Our findings show that sociotechnical and generalizable knowledge is still missing. Therefore, the authors also develop an open research agenda that future researchers can address to enable the more frequent and efficient use of AI-based forecasts in financial accounting.
Research limitations/implications
Owing to the rapid development of AI algorithms, our results can only provide an overview of the current state of research. Therefore, it is likely that new AI algorithms will be applied, which have not yet been covered in existing research. However, interested researchers can use our findings and future research agenda to develop this field further.
Practical implications
Given the high relevance of AI in financial accounting, our results have several implications and potential benefits for practitioners. First, the authors provide an overview of AI algorithms used in different accounting use cases. Based on this overview, companies can evaluate the AI algorithms that are most suitable for their practical needs. Second, practitioners can use our results as a benchmark of what prediction accuracy is achievable and should strive for. Finally, our study identified several blind spots in the research, such as ensuring employee acceptance of machine learning algorithms in companies. However, companies should consider this to implement AI in financial accounting successfully.
Originality/value
To the best of our knowledge, no study has yet been conducted that provided a comprehensive overview of AI-based forecasting in financial accounting. Given the high potential of AI in accounting, the authors aimed to bridge this research gap. Moreover, our cross-application view provides general insights into the superiority of specific algorithms.
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Vinita S. Sahay, Shawkat Hammoudeh and Aviral Kumar Tiwari
H.A. Dimuthu Maduranga Arachchi and G.D. Samarasinghe
This study aims to analyse the influence of perceived corporate social responsibility (CSR) on purchase intention; this study also examines the mediating effect of generation Y’s…
Abstract
Purpose
This study aims to analyse the influence of perceived corporate social responsibility (CSR) on purchase intention; this study also examines the mediating effect of generation Y’s attitude towards the brand and the moderating effect of their attitude towards CSR.
Design/methodology/approach
This study tested the model with a sample of 392 generation Y consumers using Smart partial least squares (PLS)-structural equation modelling.
Findings
Brand attitude partially mediates the positive influence of perceived CSR (PCSR) on purchase intention. Gen Y’s attitude towards CSR increases the impact of PCSR on brand attitude and purchase intention.
Practical implications
To multiply the effects of CSR and brand attitude, retail marketing managers can develop strategies that strengthen the links between awareness, knowledge, brand affection and purchase intent by encouraging Gen Y consumers to engage with the brand’s CSR strategy.
Originality/value
This study advances the literature on CSR and consumer behaviour by providing an integrated view of the hierarchy of effects model and a generational cohort perspective in predicting purchase intention.
sponsabilidad social corporativa y la actitud hacia la marca en la intención de compra
Propósito
el estudio analiza la influencia de la responsabilidad social corporativa (RSC) percibida sobre la intención de compra. De igual forma, se analizan el efecto mediador de la actitud hacia la marca y el efecto moderador de la actitud hacia la RSC de la Generación Y.
Metodología
el modelo se contrastó con una muestra de 392 consumidores de la generación Y utilizando SMART PLS-SEM.
Hallazgos
la actitud hacia la marca media parcialmente la influencia positiva entre la RSC percibida y la intención de compra. La actitud de la Gen Y hacia la RSC multiplica el impacto de la RSC percibida sobre la actitud hacia la marca y sobre la intención de compra.
Implicaciones prácticas
con la finalidad de multiplicar los efectos de la RSC y de la actitud hacia la marca, los directivos del marketing minorista pueden desarrollar estrategias que refuercen los vínculos entre concienciación, conocimiento, afecto por la marca e intención de compra fomentando la implicación de los consumidores de la generación Y con la estrategia de RSC de la marca.
Originalidad
El estudio avanza en la literatura sobre RSC y comportamiento del consumidor al ofrecer una perspectiva integrada del modelo de jerarquía de efectos (HOE) y la perspectiva de cohortes generacionales en la predicción de la intención de compra.
目的
本研究分析了感知到的企业社会责任对购买意向的影响。同样, 我们也分析了Y世代的品牌态度的中介效应和企业社会责任态度的调节效应。
方法
使用SMART PLS-SEM对392名Y世代消费者的样本进行了模型测试。
研究结果
品牌态度部分调解了感知的企业社会责任和购买意向之间的积极影响。Y一代对企业社会责任的态度使感知到的企业社会责任对品牌态度和购买意向的影响倍增。
实践意义
为了使企业社会责任和品牌态度的效果倍增, 零售业营销人员可以制定战略, 通过鼓励Y一代消费者参与品牌的企业社会责任战略, 加强意识、知识、品牌喜爱和购买意向之间的联系。
Details
Keywords
- Corporate social responsibility
- Brand attitude
- Purchase intention
- Generation Y attitude
- Hierarchy of effects model
- Generational cohort perspective
- Responsabilidad social corporativa
- Actitud de marca
- Intención de compra
- Actitud de la Generación Y
- Modelo de jerarquía de efectos
- Perspectiva de cohorte generacional
- 企业社会责任
- 品牌态度
- 购买意向
- Y世代态度
- 效应层次模型
- 世代群组视角
Abhishek N., Abhinandan Kulal, Divyashree M.S. and Sahana Dinesh
The study is aimed at analyzing the perceptions of students and teachers regarding the effectiveness of massive open online courses (MOOCs) on learning efficiency of students and…
Abstract
Purpose
The study is aimed at analyzing the perceptions of students and teachers regarding the effectiveness of massive open online courses (MOOCs) on learning efficiency of students and also evaluating MOOCs as an ideal tool for designing a blended model for education.
Design/methodology/approach
The analysis was carried out by using the data gathered from the students as well as teachers of University of Mysore, Karnataka, India. Two separate sets of questionnaires were developed for both the categories of respondents. Also, the respondents were required to have prior experience in MOOCs. Further, the collected data was analyzed using statistical package for social sciences (SPSS).
Findings
The study showed that MOOCs have a more positive influence on learning efficiency, as opined by both teachers and students. Negative views such as cheating during the assessment, lack of individual attention to students and low teacher-student ratio were also observed.
Practical implications
Many educational institutions view that the MOOCs do not influence learning efficiency and also do not support in achieving their vision. However, this study provides evidence that MOOCs are positively influencing the learning efficiency and also can be employed in a blended model of education so as to promote collaborative learning.
Originality/value
Technology is playing a pivotal role in all fields of life and the education sector is not an exception. It can be rightly said that the technology-based education models such as MOOCs are the need of the hour. This study may help higher education institutions to adopt MOOCs as part of their blended model of education, and, if already adopted, the outcome of the present study will help them to improve the effectiveness of the MOOCs they are offering.
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Boshra Ahmed Halo, Rashid Al-Yahyai, Abdullah Al-Sadi and Asma Al-Sibani
Crops are increasingly affected by drought; hence, the current study explored the potential role of three desert endophytic fungi, Aspergillus fumigatus, Aspergillus terreus and…
Abstract
Purpose
Crops are increasingly affected by drought; hence, the current study explored the potential role of three desert endophytic fungi, Aspergillus fumigatus, Aspergillus terreus and Talaromyces variabilis, in conferring drought tolerance in tomato plants.
Design/methodology/approach
Preserved endophytic fungi from a Rhazya stricta desert plant were adopted to obtain the required fungal treatment; tomatoes received fungal treatments directly in plastic trays and subsequently in pots. Drought was applied using 15% of PEG-6000 at two stages: flowering and fruiting. The following parameters were measured: pollen sterility, growth characteristics, morphological analysis and biochemical analysis, including proline, gibberellic acid (GA3) and chlorophyll measurements; thus, the data were analyzed statistically using SPSS software.
Findings
All applied endophytes significantly promoted pollen viability and tomato yield under stressed and nonstressed conditions. Interestingly, these endophytes significantly enhanced the number of trichomes under drought stress and promoted tomato fruit quality. The colonized tomato plants accumulated a high proline level under drought stress but lower than un-inoculated stressed plants. Also, a significant rise in growth characteristics was observed by A. fumigatus and A. terreus under normal conditions. Moreover, both raised GA3 levels under drought-stressed and nonstressed conditions. Also these two endophytes enhanced chlorophyll and carotenoid contents under drought stress. Fruit characteristics were enhanced by nonstressed T. variabilis and stressed A. fumigatus.
Originality/value
The present endophytic fungi provide impressive benefits to their host in normal and drought-stressed conditions. Consequently, they represent valuable sources as sustainable and environmentally friendly alternatives to mitigate drought stress.
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Sandesh Thapa, Rakshya Bhandari and Anjal Nainabasti
The purpose of this study was to observe the people’s response regarding rooftop farming in one of the rapidly developing area of Kavrepalanchok district, Dhulikhel, as rooftop…
Abstract
Purpose
The purpose of this study was to observe the people’s response regarding rooftop farming in one of the rapidly developing area of Kavrepalanchok district, Dhulikhel, as rooftop farming is aimed in solving food security problem in urban area by providing quality materials for nutritional requirements.
Design/methodology/approach
The research design of this study was random sampling survey with replacement techniques as respondents without concrete roof were not selected for the study. This study was aimed at recording the people’s response in one of the most accessible way, which would be easy for interpretation and analysis.
Findings
The major finding was that all of the respondents found rooftop farming beneficial but not all could practice it because of many constraints associated with rooftop farming. Most of them have fear of roof damage, so they are not adopting it. However, the respondents who are practicing rooftop farming find it difficult to manage because of lack of proper knowledge. Planting materials include plastic bags, crates, polythene and many other non-recyclable components.
Originality/value
To the best of the authors’ knowledge, this research is the first ever conducted in their country. Surveys related to rooftop gardening have not been done in the authors’ country till date. This is one of the present needs to improve the urban farming status, thus survey on rooftop farming and solving its constraints is necessary.
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This paper examines the factors which impact the behavioral intentions toward cryptocurrency based on signaling theory.
Abstract
Purpose
This paper examines the factors which impact the behavioral intentions toward cryptocurrency based on signaling theory.
Design/methodology/approach
Data were collected through online questionnaire, and responses from 223 individuals in Lebanon were analyzed through SEM technique using Amos 24.
Findings
The outcomes portrayed the positive effect of perceived benefits and trust in cryptocurrency on behavioral intentions toward cryptocurrency; while not supporting the hypothesized influence of herd behavior and regulatory support.
Originality/value
This paper is among the first studies to adopt Signaling Theory (ST) in the cryptocurrency behavioral intentions research. Moreover, it is of the initial efforts in Lebanon and Middle East in evaluating behavioral intentions to use cryptocurrency, and it provide insights for future researchers, crypto project owners, crypto investors and crypto trading platforms.
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