Usage, captures, mentions, social media and citations of LIS highly cited papers: an altmetrics study

Saberi, Mohammad Karim; Ekhtiyari, Faezeh

doi:10.1108/pmm-10-2018-0025

Cited by 23 publications

(13 citation statements)

References 20 publications

(21 reference statements)

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“…The published papers by famous publishers such as IEEE, Elsevier, Springer, Sage, Emerald, Taylor, ACM, Wiley and IGI are selected based on their title (Saberi, 2009). Also, citations of the paper are considered in this stage (Saberi and Ekhtiyari, 2019; Saberi et al , 2011).…”

Section: Methodsmentioning

confidence: 99%

The role of knowledge sharing in supply chain success

Rajabion

Mokhtari²,

Khordehbinan

et al. 2019

JEDT

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Purpose The aim of this paper is to provide a comprehensive and detailed review of the state-of-the-art mechanisms of knowledge sharing (KS) in the supply chain (SC) field, as well as directions for future research. Briefly, this paper tries to offer a systematic and methodical review of the KS mechanisms in the SC to provide a comparative summary of the selected articles, to collect and describe the factors that have the influence on KS and SC, to explore some main challenges in this field and to present the guidelines to face the existing challenges and outlining the key areas where the KS mechanisms in SC can be improved. Design/methodology/approach In the current study, a systematic literature review up to 2018 is presented on the supply chain’s mechanisms of KS. The authors identified 21,907 papers, which are reduced to 25 primary studies through the paper-selection process. Findings The results showed that the KS in SC helps to increase the success of the organizations, improve employee performance, increase competitive advantage, enhance innovation and improve relationships between supplier and consumer. However, there were some weaknesses, such as staff resistance to share knowledge in the SC because of fear of job loss. Research limitations/implications There are several limitations to this study. This study limited the search to Google Scholar. There might be other academic journals where Google does not find their paper and they can offer a more complete picture of the related articles. Finally, non-English publications were omitted from this study. It is possible that the research about the application of KS in SC can also be published in other languages. In addition, more studies need to be carried out using other methodologies such as interviews. Originality/value The paper presents a comprehensive structured literature review of the articles’ mechanisms of KS in SC. The paper’s findings can offer insights into future research needs. By providing comparative information and analyzing the current developments in this area, this paper will directly support academics and practicing professionals for better knowing the progress in KS mechanisms.

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Section: Methodsmentioning

confidence: 99%

The role of knowledge sharing in supply chain success

Rajabion

Mokhtari²,

Khordehbinan

et al. 2019

JEDT

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Section: Methodsmentioning

confidence: 99%

“…Considering the following search string, the automatic searching was done based on search terms from seven online scientific databases such as ScienceDirect, IEEE, Sage, Springer, Wiley, Taylor & Francis, and ACM, which are illustrated in Table 1. 42,43 Fog AND ("Quality of Service" OR QoS OR time OR cost OR delay OR latency OR energy OR availability OR reliability OR throughput)…”

Section: The First Phasementioning

confidence: 99%

Quality of service‐aware approaches in fog computing

Kashani

Rahmani

Navimipour

2020

Int J Communication

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Summary In recent years, fog computing, a novel paradigm, has emerged for location and latency‐sensitive applications. It is a powerful complement for cloud computing that enables provisioning services and resources outside the cloud near the end devices. In a fog system, the existence of several nonhomogenous devices, which are potentially mobile, led to quality of service (QoS) worries. QoS‐aware approaches are presented in various parts of the fog system, and several different QoS factors are taken into account. In spite of the importance of QoS in fog computing, no comprehensive study on QoS‐aware approaches exists in fog computing. Hence, this paper reviews the current research used to guarantee QoS in fog computing. This paper investigates the QoS‐ensuring techniques that fall into three categories: service/resource management, communication management, and application management (published between 2013 and October 2018). Regarding the selected approaches, this paper represents merits, demerits, tools, evaluation types, and QoS factors. Finally, on the basis of the reviewed studies, we suggest some open issues and challenges which are worth further studying and researching in QoS‐aware approaches in fog computing.

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“…Currently, the internet makes an enormous influence on society and produces a new revolution in which everyone and everything are online (Nguyen and Simkin, 2013; Navimipour and Zareie, 2015; Saberi and Ekhtiyari, 2019). The significance of the internet is its ease in retrieving both specialized services and entertainment and in facilitating data transfer and information sharing (Navimipour and Milani, 2015).…”

Section: Literature Reviewmentioning

confidence: 99%

A new model for assessing the role of customer behavior history, product classification, and prices on the success of the recommender systems in e-commerce

Wakil

Alyari²,

Ghasvari

et al. 2019

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Purpose This paper aims to propose a new method for evaluating the success of the recommender systems based on customer history, product classification and prices criteria in the electronic commerce. To evaluate the validity of the model, the structural equation modeling technique is employed. Design/methodology/approach A method has been suggested to evaluate the impact of customer history, product classification and prices on the success of the recommender systems in electronic commerce. After that, the authors investigated the relationship between these factors. To achieve this goal, the structural equation modeling technique was used for statistical conclusion validity. The results of gathered data from employees of a company in Iran is indicated the impact of the customer history on the success of recommender systems in e-commerce which is related with the user profile, expert opinion, neighbors, loyalty and clickstream. These factors positively influence the success of recommender systems in ecommerce. Findings The obtained results demonstrated the efficiency and effectiveness of the proposed model in term of the success of the recommender systems in the electronic commerce. Originality/value In this paper, the effective factors of success of recommender systems in electronic commerce are pointed out and the approach to increase the efficiency of this system is applied into a practical example.

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Usage, captures, mentions, social media and citations of LIS highly cited papers: an altmetrics study

Cited by 23 publications

References 20 publications

The role of knowledge sharing in supply chain success

The role of knowledge sharing in supply chain success

Quality of service‐aware approaches in fog computing

A new model for assessing the role of customer behavior history, product classification, and prices on the success of the recommender systems in e-commerce

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