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Article
Publication date: 8 March 2022

Sanaz Kargaran, Masoumeh Hosseinzadeh Shahri, Zahra Ghorbani, Ali Saberi, Seyedh Mahboobeh Jamali and Nader Aleebrahim

Today social media capabilities have enabled businesses and enterprises to more collaboration, engagement and co-creation with their customers. So the current paper expands on…

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Abstract

Purpose

Today social media capabilities have enabled businesses and enterprises to more collaboration, engagement and co-creation with their customers. So the current paper expands on this notion. The aim of this study is a bibliometric analysis to examine the trends of publications in the field of co-creation based on social media.

Design/methodology/approach

To data collection of quantitative analysis, Scopus database was selected and the collected data were analyzed using Bibliometrix-package. The Web of Science also was selected to retrieve highly cited and hot papers for qualitative part of analysis besides top 10 Scopus highest citation per year documents on June 6, 2020.

Findings

The results indicate insights into research trends pertaining to social media-based co-creation, as follows: starting jump to the publications occurred in this researches from the year 2008 and the growth trend is progressing in recent years; the stressful points are “co-design,” “co-creation” and “value co-creation” and concepts such as “open innovation,” “co-innovation” and “co-new product design” are new topics that guide future direction; the USA and UK are leaders in number of multiple and single publications; the most active and top journals that are better suited to achieving a high citation rate per year for a related paper were introduced. In addition, the top documents and highly cited papers were qualitatively analyzed on the basis of times cited per year.

Research limitations/implications

The current study is not free of limitations. The database was limited to only Scopus. So the patterns and trends generated in the study may not be generalized to all social media-based co-creation research. Of course, the authors did not intend to ignore other contributions. It is mainly because of the number of documents retrieved from Scopus database and the coverage, Scopus was selected. Moreover, other types of research techniques such as correspondence analysis can be incorporated to generate additional meaningful insight.

Originality/value

In this time of social media and user-generated content portals, co-creation through social media has become quite popular. So the main innovation of this study is providing a visual presentation of the trends and patterns in the evaluation of social media-based co-creation from the first document about the research area published till 2020. The results of this paper can shed light on the factors that strengthen the contribution of studies in a research area. Generally, the bibliometric items the authors analyzed essentially show the entire field picture and guide researchers toward understanding future trends to produce impactful studies.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 54 no. 3
Type: Research Article
ISSN: 2059-5891

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Article
Publication date: 17 October 2019

Ali Ouchi, Mohammad Karim Saberi, Nasim Ansari, Leila Hashempour and Alireza Isfandyari-Moghaddam

The purpose of this paper is to study the presence of highly cited papers of Nature in social media websites and tools. It also tries to examine the correlation between altmetric…

474

Abstract

Purpose

The purpose of this paper is to study the presence of highly cited papers of Nature in social media websites and tools. It also tries to examine the correlation between altmetric and bibliometric indicators.

Design/methodology/approach

This descriptive study was carried out using altmetric indicators. The research sample consisted of 1,000 most-cited articles in Nature. In February 2019, the bibliographic information of these articles was extracted from the Scopus database. Then, the titles of all articles were manually searched on Google, and by referring to the article in the journal website and altmetric institution, the data related to social media presence and altmetric score of articles were collected. The data were analyzed using Microsoft Excel and SPSS.

Findings

According to the results of the study, from 1,000 articles, 989 of them (98.9 per cent) were mentioned at least once in different social media websites and tools. The most used altmetric source in highly cited articles was Mendeley (98.9 per cent), followed by Citeulike (79.8 per cent) and Wikipedia (69.4 per cent). Most Tweets, blog posts, Facebook posts, news stories, readers in Mendeley, Citeulike and Connotea and Wikipedia citations belonged to the article titled “Mastering the game of Go with deep neural networks and tree search”. The highest altmetric score was 3,135 which belonged to this paper. Most tweeters and articles’ readers were from the USA. The membership type of the tweeters was public membership. In terms of fields of study, most readers were PhD students in Agricultural and Biological Sciences. Finally, the results of Spearman’s Correlation revealed positive significant statistical correlation between all altmetric indicators and received citations of highly cited articles (p-value = 0.0001).

Practical implications

The results of this study can help researchers, editors and editorial boards of journals better understand the importance and benefits of using social media and tools to publish articles.

Originality/value

Altmetrics is a relatively new field, and in particular, there are not many studies related to the presence of articles in various social media until now. Accordingly, in this study, a comprehensive altmetric analysis was carried out on 1000 most-cited articles of one of the world's most reliable journals.

Details

Information Discovery and Delivery, vol. 47 no. 4
Type: Research Article
ISSN: 2398-6247

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Article
Publication date: 17 January 2022

Hanieh Shambayati, Mohsen Shafiei Nikabadi, Seyed Mohammad Ali Khatami Firouzabadi, Mohammad Rahmanimanesh and Sara Saberi

Supply chains (SCs) have been growingly virtualized in response to the market challenges and opportunities that are presented by new and cost-effective internet-based technologies…

473

Abstract

Purpose

Supply chains (SCs) have been growingly virtualized in response to the market challenges and opportunities that are presented by new and cost-effective internet-based technologies today. This paper designed a virtual closed-loop supply chain (VCLSC) network based on multiperiod, multiproduct and by using the Internet of Things (IoT). The purpose of the paper is the optimization of the VCLSC network.

Design/methodology/approach

The proposed model considers the maximization of profit. For this purpose, costs related to virtualization such as security, energy consumption, recall and IoT facilities along with the usual costs of the SC are considered in the model. Due to real-world demand fluctuations, in this model, demand is considered fuzzy. Finally, the problem is solved using the Grey Wolf algorithm and Firefly algorithm. A numerical example and sensitivity analysis on the main parameters of the model are used to describe the importance and applicability of the developed model.

Findings

The findings showed that the Firefly algorithm performed better and identified more profit for the SC in each period. Also, the results of the sensitivity analysis using the IoT in a VCLSC showed that the profit of the virtual supply chain (VSC) is higher compared to not using IoT due to tracking defective parts and identifying reversible products. In proposed model, chain members can help improve chain operations by tracking raw materials and products, delivering products faster and with higher quality to customers, bringing a new level of SC efficiency to industries. As a result, VSCs can be controlled, programmed and optimized remotely over the Internet based on virtual objects rather than direct observation.

Originality/value

There are limited researches on designing and optimizing the VCLSC network. This study is one of the first studies that optimize the VSC networks considering minimization of virtual costs and maximization of profits. In most researches, the theory of VSC and its advantages have been described, while in this research, mathematical optimization and modeling of the VSC have been done, and it has been tried to apply SC virtualization using the IoT. Considering virtual costs in VSC optimization is another originality of this research. Also, considering the uncertainty in the SC brings the issue closer to the real world. In this study, virtualization costs including security, recall and energy consumption in SC optimization are considered.

Highlights

  1. Investigates the role of IoT for virtual supply chain profit optimization and mathematical optimization of virtual closed-loop supply chain (VCLSC) based on multiperiod, multiproduct with emphasis on using the IoT under uncertainty.

  2. Considering the most important costs of virtualization of supply chain include: cost of IoT information security, cost of IoT energy consumption, cost of recall the production department, cost of IoT facilities.

  3. Selection of the optimal suppliers in each period and determination of the price of each returned product in virtual supply chain.

  4. Solving and validating the proposed model with two meta-heuristic algorithms (the Grey Wolf algorithm and Firefly algorithm).

Investigates the role of IoT for virtual supply chain profit optimization and mathematical optimization of virtual closed-loop supply chain (VCLSC) based on multiperiod, multiproduct with emphasis on using the IoT under uncertainty.

Considering the most important costs of virtualization of supply chain include: cost of IoT information security, cost of IoT energy consumption, cost of recall the production department, cost of IoT facilities.

Selection of the optimal suppliers in each period and determination of the price of each returned product in virtual supply chain.

Solving and validating the proposed model with two meta-heuristic algorithms (the Grey Wolf algorithm and Firefly algorithm).

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Article
Publication date: 6 November 2017

Fahimeh Saberi Zafarghandi, Maryam Mohammadi, Esmail Babolian and Shahnam Javadi

The purpose of this paper is to introduce a local Newton basis functions collocation method for solving the 2D nonlinear coupled Burgers’ equations. It needs less computer storage…

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Abstract

Purpose

The purpose of this paper is to introduce a local Newton basis functions collocation method for solving the 2D nonlinear coupled Burgers’ equations. It needs less computer storage and flops than the usual global radial basis functions collocation method and also stabilizes the numerical solutions of the convection-dominated equations by using the Newton basis functions.

Design/methodology/approach

A meshless method based on spatial trial space spanned by the local Newton basis functions in the “native” Hilbert space of the reproducing kernel is presented. With the selected local sub-clusters of domain nodes, an approximation function is introduced as a sum of weighted local Newton basis functions. Then the collocation approach is used to determine weights. The method leads to a system of ordinary differential equations (ODEs) for the time-dependent partial differential equations (PDEs).

Findings

The method is successfully used for solving the 2D nonlinear coupled Burgers’ equations for reasonably high values of Reynolds number (Re). It is a well-known issue in the analysis of the convection-diffusion problems that the solution becomes oscillatory when the problem becomes convection-dominated if the standard methods are followed without special treatments. In the proposed method, the authors do not detect any instability near the front, hence no technique is needed. The numerical results show that the proposed method is efficient, accurate and stable for flow with reasonably high values of Re.

Originality/value

The authors used more stable basis functions than the standard basis of translated kernels for representing of kernel-based approximants for the numerical solution of partial differential equations (PDEs). The local character of the method, having a well-structured implementation including enforcing the Dirichlet and Neuman boundary conditions, and producing accurate and stable results for flow with reasonably high values of Re for the numerical solution of the 2D nonlinear coupled Burgers’ equations without any special technique are the main values of the paper.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 27 no. 11
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 31 October 2024

Md. Ramjan Ali, Sharfuddin Ahmed Khan, Yasanur Kayikci and Muhammad Shujaat Mubarik

Blockchain technology is one of the major contributors to supply chain sustainability because of its inherent features. However, its adoption rate is relatively low due to reasons…

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Abstract

Purpose

Blockchain technology is one of the major contributors to supply chain sustainability because of its inherent features. However, its adoption rate is relatively low due to reasons such as the diverse barriers impeding blockchain adoption. The purpose of this study is to identify blockchain adoption barriers in sustainable supply chain and uncovers their interrelationships.

Design/methodology/approach

A three-phase framework that combines machine learning (ML) classifiers, BORUTA feature selection algorithm, and Grey-DEMATEL method. From the literature review, 26 potential barriers were identified and evaluated through the performance of ML models with accuracy and f-score.

Findings

The findings reveal that feature selection algorithm detected 15 prominent barriers, and random forest (RF) classifier performed with the highest accuracy and f-score. Moreover, the performance of the RF increased by 2.38% accuracy and 2.19% f-score after removing irrelevant barriers, confirming the validity of feature selection algorithm. An RF classifier ranked the prominent barriers and according to ranking, financial constraints, immaturity, security, knowledge and expertise, and cultural differences resided at the top of the list. Furthermore, a Grey-DEMATEL method is employed to expose interrelationships between prominent barriers and to provide an overview of the cause-and-effect group.

Practical implications

The outcome of this study can help industry practitioners develop new strategies and plans for blockchain adoption in sustainable supply chains.

Originality/value

The research on the adoption of blockchain technology in sustainable supply chains is still evolving. This study contributes to the ongoing debate by exploring how practitioners and decision-makers adopt blockchain technology, developing strategies and plans in the process.

Details

Industrial Management & Data Systems, vol. 125 no. 1
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 24 December 2024

MohammadBagher SaberiZafarghandi, Sahar Eshrati, Ali Shoorsan and Amir Kohzadi

Substance use disorder is one of the most prevalent health issues among prison populations. In this regard, addiction treatment and harm reduction programs have been implemented…

3

Abstract

Purpose

Substance use disorder is one of the most prevalent health issues among prison populations. In this regard, addiction treatment and harm reduction programs have been implemented in Iranian prisons since 2002. The purpose was to describe the practical experience of implementing harm reduction programs in Iran’s prisons, emphasizing the impact of policy decisions on it.

Design/methodology/approach

The study was qualitative study. In addition to analyzing 16 documents, the authors conducted face-to-face semi-structured interviews with 11 key informants who were asked questions about the evolution of treatment and harm reduction programs in prisons. The authors analyzed the data using the content analysis method and MAXQDA-10 software.

Findings

The HIV outbreak in Iranian prisons in the late 20th century posed a significant challenge. Initially, policymakers’ responses were varied from denying the issue to solving it, reflecting the prevailing abstinence paradigm among drug experts and politicians. However, a legal amendment was eventually issued based on evidence-based health literature. Despite initial obstacles such as financial constraints and lack of human resources, the successful implementation of large-scale harm reduction measures, including methadone maintenance treatment and interventions targeting infectious diseases, has led to the development of a unique health model in the Persian Gulf region. This model, born out of the Iranian experience, offers hope for the future of prison health.

Originality/value

Lessons from the Iran case could provide valuable insight for countries about the role of policy in implementing harm reduction programs in prisons. Policy advocacy and reform is one of the main measures to provide evidence-based health interventions in prisons.

Details

International Journal of Prison Health, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2977-0254

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Article
Publication date: 25 November 2020

Arvind Upadhyay, Julius Oluwasunkanmi Ayodele, Anil Kumar and Jose Arturo Garza-Reyes

This paper aims to explore the challenges and opportunities of blockchain technology adoption from the lens of the technological–organisational–environmental (TOE) framework for…

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Abstract

Purpose

This paper aims to explore the challenges and opportunities of blockchain technology adoption from the lens of the technological–organisational–environmental (TOE) framework for operational excellence in the UK automotive industry context.

Design/methodology/approach

The research methodology of this study follows a systematic review approach, which analyses existing academic published research papers in the top 35 academic journals. There was no specific timeframe established for this study and shortlisting the articles through a set of used keywords. A sample of 71 articles was shortlisted and analysed to provide a discussion on technological and management challenges and opportunities of blockchain adoption from the lens of the TOE framework for operational excellence.

Findings

The findings of this study present significant theoretical and managerial implications and deep understanding for firms seeking to understand the challenges and opportunities of blockchain adoption for their operational excellence.

Research limitations/implications

The systematic literature approach was considered for the present study to explore existing academic papers on technological and management challenges and opportunities from the lens of TOE framework for operational excellence, whereas a more specified method meta-analysis can be considered for future research. The study has been explored in the UK automotive industry context, which has been considered as the limitation of generalisation across countries and industries.

Originality/value

This paper represents the most comprehensive literature study related to the technological and management challenges and opportunities of blockchain from the TOE framework angle for operational excellence.

Details

Journal of Global Operations and Strategic Sourcing, vol. 14 no. 1
Type: Research Article
ISSN: 2398-5364

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Article
Publication date: 31 January 2020

Abbas Doulani, Sepideh Sahebi and Mohammad Karim Saberi

The purpose of this study is to carry out the demographic evaluation and analysis of the entrepreneurial orientation of librarians in Iranian public libraries using the Lumpkin…

261

Abstract

Purpose

The purpose of this study is to carry out the demographic evaluation and analysis of the entrepreneurial orientation of librarians in Iranian public libraries using the Lumpkin and Dess model.

Design/methodology/approach

In this study, a structured questionnaire of entrepreneurial orientation was used. The research population consisted of 5,000 librarians of Iranian public libraries who were selected using Krejcie and Morgan table (95% confidence level and p-value of 5%) and stratified the random sampling method. A total of 365 individuals were selected as the study sample. Data were analyzed by SPSS software using descriptive statistics (frequency, percent, mean, standard deviation and standard error mean) as well as inferential statistics (Pearson correlation, one-sample t-test, independent samples t-test and ANOVA.

Findings

The results showed that the mean level of entrepreneurial orientation of librarians was 2.92 with an average level (µ = 3). Librarians were at an average level (µ = 3) in terms of components of innovativeness (2.98), risk-taking (2.93) and proactiveness (3.02). The status of the autonomy component (2.53) was at an undesirable level (3 < µ), and only the competitive aggressiveness status (3.12) was at the desirable level (3 < µ). The analysis of the librarian’s entrepreneurial orientation based on demographic characteristics indicated that the male librarian’s entrepreneurial orientation was higher than the female librarian’s (p-value = 0.039). Meantime, librarians with library and information science degrees have less entrepreneurial orientation than the librarians with other (non-librarian and information science) degrees (p-value = 0.01). Also, the higher the librarian’s degree, the lower their entrepreneurial orientation will be (p-value = 0.000). In addition, there was no significant relationship between librarians’ age (p-value = 0.14), marital status (p-value = 0.15) or work experience (p-value = 0.388) and their entrepreneurial orientation.

Practical implications

Entrepreneurial orientation is one of the significant concepts in entrepreneurship of organizations. Accordingly, studying the concept of entrepreneurial orientation and formulating an appropriate strategy is of great importance in improving the performance of libraries because libraries can be more useful and appealing to library members by enhancing the entrepreneurial orientation of librarians, delivering new, unique and tailor-made services to users’ needs.

Originality/value

Not much research has been carried out on entrepreneurship in library and information sciences. To the best of the authors’ knowledge, this is the first study to examine the entrepreneurial orientation of librarians based on their demographic characteristics.

Details

Global Knowledge, Memory and Communication, vol. 69 no. 4/5
Type: Research Article
ISSN: 2514-9342

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Article
Publication date: 16 May 2023

Muhammad Shoaib, Shengzhong Zhang, Hassan Ali, Muhammad Azeem Akbar, Muhammad Hamza and Waheed Ur Rehman

This study aims to identify and prioritize the challenges to adopting blockchain in supply chain management and to make its taxonomic model. Moreover, validate whether these…

208

Abstract

Purpose

This study aims to identify and prioritize the challenges to adopting blockchain in supply chain management and to make its taxonomic model. Moreover, validate whether these challenging factors exist in the real world and, if they exist, then in what percentage.

Design/methodology/approach

This research adopted the fuzzy best-worst method (F-BWM), which integrates fuzzy set theory with the best-worst method to identify and prioritize the prominent challenges of the blockchain-based supply chain by developing a weighted multi-criteria model.

Findings

A total of 20 challenges (CH's) were identified. Lack of storage capacity/scalability and lack of data privacy challenges were found as key challenges. The findings of this study will provide a robust framework of the challenges that will assist academic researchers and industry practitioners in considering the most significant category concerning their working area.

Practical implications

Blockchain provides the best solution for tracing and tracking where RFID has not succeeded. It can improve quality management in a supply chain network by improving standards and speeding up operations. For inventory management, blockchain provides transparency of documentation for both parties within no time.

Originality/value

To the best of the authors' knowledge, no previous research has adopted the fuzzy best-worst method to prioritize the identified challenges of blockchain implementation in the supply chain. Moreover, no study provides a taxonomic model for the challenges of implementing a blockchain-based supply chain.

Details

Kybernetes, vol. 53 no. 10
Type: Research Article
ISSN: 0368-492X

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Book part
Publication date: 9 December 2024

Bernard Lim Jit Heng, Phuah Kit Teng, Siti Intan Nurdiana Wong Abdullah, Ow Mun Waei and Khoong Tai Wai

By market capitalisation, Bitcoin, which debuted in 2009, is the biggest cryptocurrency globally. A decentralised ledger system called blockchain is used in the creation…

Abstract

By market capitalisation, Bitcoin, which debuted in 2009, is the biggest cryptocurrency globally. A decentralised ledger system called blockchain is used in the creation, distribution, trading, and storage of Bitcoin, with the original goal being to address the shortcomings of fiat currency. This chapter highlights potential dangers and legal concerns when Bitcoin interacts with the actual economy and the traditional financial system. Besides, the details also discuss the platform’s design principles and attributes for a non-technical readership. When assessing its transactional potential, some recognise its potential for speculation, while others are doubtful of its admirable intent. The write-up also explores the potential of the adoption of cryptocurrencies in Southeast Asia due to the vast adoption of Bitcoins in countries such as Vietnam and the Philippines following the establishment of cryptocurrency technology and e-commerce. In addition, rankings of the cryptocurrency and legal stance from each country in Southeast Asia were exhibited as the solid foundation of cryptocurrencies existent for transaction purposes. The rise of central bank digital currencies (CBDC) and the future directions of Bitcoins were also highlighted in this write-up to spur the debate on whether cryptocurrency remains a fad of sensation or is legalised as the medium of exchange in an ever-growing digital world of commerce.

Details

Augmenting Retail Reality, Part A: Blockchain, AR, VR, and the Internet of Things
Type: Book
ISBN: 978-1-83608-635-2

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