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Article
Publication date: 2 March 2015

Hamid Omidvar, Mohammad Sajjadnejad, Guy Stremsdoerfer, Yunny Meas and Ali Mozafari

This paper aims to coat ternary composite NiBP-graphite films by Dynamic Chemical Plating “DCP” technique with a growth rate of at least 5 μm/h, which makes this technique…

Abstract

Purpose

This paper aims to coat ternary composite NiBP-graphite films by Dynamic Chemical Plating “DCP” technique with a growth rate of at least 5 μm/h, which makes this technique a worthy candidate for production of composite films. Electroless nickel plating method can be used to deposit nickel–phosphorous and nickel–boron coatings on metals or plastic surface. However, restrictions such as toxicity, short lifetime of the plating-bath and limited plating rate have limited applications of conventional electroless processes.

Design/methodology/approach

DCP is an alternative for producing metallic deposits on non-conductive materials and can be considered as a modified electroless coating process. Using a double-nozzle gun, two different solutions containing the precursors are sprayed simultaneously and separately onto the surface. With this technique, NiBP-graphite films are fabricated and their corrosion and tribological properties are investigated.

Findings

With a film thickness of 2 μm, tribological analysis confirms that these coatings have favorable anti-friction and anti-wear properties. Corrosion resistance of NiBP-graphite composite films was investigated, and it was found that graphite incorporation significantly enhances corrosion resistance of NiBP films.

Originality/value

DCP is faster and simpler to perform compared to other electroless deposition techniques. Using a double-nozzle gun, metal salt solution and reducing agents are sprayed to the surface, forming a deposit. Previously, coatings such as Cu, Cu-graphite, Cu-PTFE, Ni-B-TiO2, Ni-P, Ni-B-P and Ni-B-Zn with favorable compactness and adherence by DCP were reported. In this paper, the authors report the application of the DCP technique for depositing NiBP-PTFE nanocomposite films.

Details

Anti-Corrosion Methods and Materials, vol. 62 no. 2
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 19 June 2019

Behrouz Mozafari, Ali Akbar Abbasian Arani, Ghanbar Ali Sheikhzadeh and Mahmoud Salimi

The purpose of this paper is to study the effects of using different Brownian models on natural and mixed convection fluid flow and heat transfer inside the square…

Abstract

Purpose

The purpose of this paper is to study the effects of using different Brownian models on natural and mixed convection fluid flow and heat transfer inside the square enclosure filled with the AlOOH–water nanofluid.

Design/methodology/approach

Due to fulfill of this demand, five different models for the effective thermal conductivity and viscosity of the nanofluid are considered. The following results are presented for the Ra=107 to 1010 and Ri=0.01 to 100, whereas the volume fraction of the nanoparticles is varied from φ = 0.01 to 0.04.

Findings

According to the obtained results, increasing of Rayleigh number and reduction of Richardson number leads to the higher values of the average Nusselt number and entropy generation. Also, it is realized that, variation trend of the average Nusselt number and entropy generation in all cases is increasing by growing the volume fraction. It is found that the obtained average Nusselt numbers and entropy generations with Koo and Kleinstreuer are the highest among all the studied cases, and it is followed by Patel, Vajjha and Das, Corcione and Maxwell–Brinkman models, respectively.

Originality/value

Based on the results of present investigation, the Nusselt number difference predicted between the Maxwell–Brinkman model (as constant-property model) and Koo and Kleinstreuer model is about 7.84 per cent at 0.01 per cent volume fraction and 5.47 per cent at 0.04 per cent volume fraction for the Rayleigh number equal to 107. The entropy generation difference predicted between the two above studied model is about 8.05 per cent at 0.01 per cent volume fraction and 5.86 per cent at 0.04 per cent volume fraction for the Rayleigh number equal to 107. It is observed that using constant-property model has a significant difference in the obtained results with the results of other variable-property models.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 30 no. 5
Type: Research Article
ISSN: 0961-5539

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Article
Publication date: 17 July 2017

Neda Khalil Zadeh, Mohammad Khalilzadeh, Mehrdad Mozafari, Morteza Vasei and Ali Amoei Ojaki

This paper aims to reveal the challenges and problems of technology commercialization in an industrial development organization in Iran.

Abstract

Purpose

This paper aims to reveal the challenges and problems of technology commercialization in an industrial development organization in Iran.

Design/methodology/approach

To achieve the objective of this paper, a mixed-methods case study was used. Initially, 15 in-depth interviews with technology commercialization experts were conducted and 43 themes were extracted as problems of technology commercialization. The outcomes of the interviews informed the development of the questionnaire. Subsequently, a survey of 205 experts was performed to examine the responses obtained from the interviews. The main problems were identified through exploratory factor analysis and evaluated through confirmatory factor analysis.

Findings

Seven factors are identified as the main difficulties of technology commercialization, including weakness in the commercialization process, challenges of the business environment, weak organizational structure, inefficient project management, ineffective cooperation with non-governmental sectors, failure to collaborate with stakeholders and conflicting political behaviors.

Practical implications

The outcomes of this research inform the organization’s managers of the poor conditions and barriers of the technology commercialization process. The findings also help managers to overcome the challenges that are under the control of the organization.

Originality/value

This paper contributes to the knowledge on technology commercialization by exploring the main factors that form barriers to and difficulties of technology commercialization in an industrial development organization and suggesting appropriate solutions.

Details

Management Research Review, vol. 40 no. 7
Type: Research Article
ISSN: 2040-8269

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Article
Publication date: 28 December 2020

Sivaraj Chinnasamy, S. Priyadharsini and Mikhail Sheremet

This study/paper aims to deal with thermal convection and entropy production of a ferrofluid in an enclosure having an isothermally warmed solid body placed inside. It…

Abstract

Purpose

This study/paper aims to deal with thermal convection and entropy production of a ferrofluid in an enclosure having an isothermally warmed solid body placed inside. It should be noted that this research deals with a development of passive cooling system for the electronic devices.

Design/methodology/approach

The domain of interest is a square chamber of size L including a rectangular solid block of sizes l1 and l2. Thermal convection of ferrofluid (water–Fe3O4 nanosuspension) is analyzed within this enclosure. The solid body is considered to be isothermal with temperature Th and also its area is L2/9. The vertical borders are cold with temperature Tc and the horizontal boundaries are adiabatic. The flow driven by temperature gradient in the cavity is two-dimensional. The governing equations, formulated in dimensionless primitive variables with corresponding initial and boundary conditions, are worked out by using the finite volume technique with the semi-implicit method for pressure-linked equations algorithm on a uniformly staggered mesh. The influence of nanoparticles volume fraction, aspect ratio of the solid block and an irreversibility ratio on energy transport and flow patterns are examined for the Rayleigh number Ra = 107.

Findings

The results show that the nanoparticles concentration augments the thermal transmission and the entropy production increases also, while the augmentation of temperature difference results in a diminution of entropy production. Finally, lower aspect ratio has the significant impact on heat transfer, isotherms, streamlines and entropy.

Originality/value

An efficient numerical technique has been developed to solve this problem. The originality of this work is to analyze convective energy transport and entropy generation in a chamber with internal block. To the best of the authors’ knowledge, the effects of irreversibility ratio are scrutinized for the first time. The results would benefit scientists and engineers to become familiar with the analysis of convective heat transfer and entropy production in enclosures with internal isothermal blocks, and the way to predict the heat transfer rate in advanced technical systems, in industrial sectors including transportation, power generation, chemical sectors, electronics, etc.

Details

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

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Article
Publication date: 14 August 2017

Stuti Saxena and Tariq Ali Said Mansour Al-Tamimi

The purpose of this paper is to underline the significance of invoking Big Data and Internet of Things (IoT) technologies in Omani Banks. Opportunities and challenges are…

Abstract

Purpose

The purpose of this paper is to underline the significance of invoking Big Data and Internet of Things (IoT) technologies in Omani Banks. Opportunities and challenges are also being discussed in the case study.

Design/methodology/approach

Four Omani banks representative of local, international, Islamic and specialized banks are being studied in terms of their social networking presence on Facebook and their e-banking facilities. Also, impetus is laid upon the aggregation of internal data and vast amounts of semi-structured external data from public sources, including social media.

Findings

The case study shows that Big Data analytics and IoT technologies may be utilized by the Omani banks for facilitating them in “forecasting” and “nowcasting”. Besides, customers may be better managed with better and efficient services. However, there are challenges in tapping these technologies such as security, infrastructure, regulatory norms, etc.

Practical implications

Banks in Oman need to appreciate the utility of Big Data and IoT technologies, and for this, a robust IT infrastructure should be institutionalized.

Originality/value

The case study is a major step in integrating Big Data and IoT technologies in Omani banks across four variants of national, international, Islamic and specialized banks. This is the first study where such integration has been emphasized in the Omani banking sector.

Details

foresight, vol. 19 no. 4
Type: Research Article
ISSN: 1463-6689

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Article
Publication date: 15 October 2018

Mohammadali Baradaran Ghahfarokhi, Ali Mohaghar and Fatemeh Saghafi

Higher education and universities have faced unprecedented and ubiquitous changes. The University of Tehran or “UT,” as the leading university in Iran, is not immune to…

Abstract

Purpose

Higher education and universities have faced unprecedented and ubiquitous changes. The University of Tehran or “UT,” as the leading university in Iran, is not immune to these changes. The purposes of this study is to investigate the current situation and future of the UT and gain insights and possible responses to changes that suit its strengths and potential to progress in an increasingly competitive, complex environment with uncertainties. It identifies deep fundamental underpinnings of the issue and highlights them for policymakers to formulate strategies and future vision of the UT.

Design/methodology/approach

Causal layered analysis (CLA) was applied as a framework and the data collected from different sources such as literature reviews, content analysis of rules, regulations and master plans of the university and coded interviews of four different groups of university stakeholders were analyzed. The current system of UT, as well as hidden beliefs, that maintains traditional perceptions about university was mapped. Next, by applying a new recursive process and reverse CLA order, new CLA layers extracted through an expert panel, the layers of CLA based on new metaphors to envision future of UT were backcasted.

Findings

The results from CLA layers including litany, system, worldview and metaphor about the current statue of UT show disinterest and inertia against changes, conservative, behind the times and traditional perceptions, and indicate that the UT system is mismatched to the needs of society and stakeholders in the future. The authors articulated alternative perspectives deconstructed from other worldviews so there are new narratives that reframe the issues at hand. The results show that to survive in this fast-paced revolution and competition in higher education, UT should develop scenarios and formulate new strategies.

Research limitations/implications

The authors had limited access to a wide range of stakeholders. As the UT is a very big university with so many faculties and departments, to access a pool of experts and top policymakers who were so busy and did not have time to interview inside and outside of university was very hard for the research team. The authors also had limitation to access the internal enactments and decisions of the trustee board of the UT and the financial balance sheets of the university.

Originality/value

In this paper, by mixing different methods of futures studies, the authors have shown how to move forward while understanding the perspectives of stakeholders about the future of UT by a new recursive process and reverse CLA order. A supplementary phase was added to improve CLA and to validate the method and results, which were ignored in previous studies.

Details

foresight, vol. 20 no. 4
Type: Research Article
ISSN: 1463-6689

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Article
Publication date: 11 April 2018

Hazel Hall, Peter Cruickshank and Bruce Ryan

The purpose of this paper is to report the results from a study that investigated the extent to which an intervention to develop a community of library and information…

Abstract

Purpose

The purpose of this paper is to report the results from a study that investigated the extent to which an intervention to develop a community of library and information science (LIS) researchers – the Developing Research Excellence and Methods (DREaM) project – was successful in meeting its main objective three years after its implementation. Of particular interest are factors that support or hinder network longevity.

Design/methodology/approach

Data were collected by online survey/telephone and focus group. From quantitative data, a social network analysis (SNA) and network diagrams were generated. Focus group discussions were recorded and transcribed, and data from these were analysed manually.

Findings

Three years after the end of its formal funding period, DREaM endured as a loose but persistent network. Social ties were more important than work ties, and network members with the highest network centrality held roles in academic institutions. Physical proximity between members was important to the maintenance of network ties. Actor status did not appear to have a bearing on network centrality.

Research limitations/implications

Discussion is limited to consideration of community development amongst core members of the network only. The “manufactured” nature of the DREaM network and unique context in which it was formed have implications for the generalisibility of the findings reported.

Practical implications

Social infrastructure is key to the long-term health of a network initiative. Continued ad hoc support would strengthen it further.

Originality/value

The findings add to understanding of factors important to the development of scholarly and learning communities. They extend contributions of earlier work that has deployed SNA techniques in LIS research and research in other fields.

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Article
Publication date: 6 June 2018

Morten Brinch

The value of big data in supply chain management (SCM) is typically motivated by the improvement of business processes and decision-making practices. However, the aspect…

Abstract

Purpose

The value of big data in supply chain management (SCM) is typically motivated by the improvement of business processes and decision-making practices. However, the aspect of value associated with big data in SCM is not well understood. The purpose of this paper is to mitigate the weakly understood nature of big data concerning big data’s value in SCM from a business process perspective.

Design/methodology/approach

A content-analysis-based literature review has been completed, in which an inductive and three-level coding procedure has been applied on 72 articles.

Findings

By identifying and defining constructs, a big data SCM framework is offered using business process theory and value theory as lenses. Value discovery, value creation and value capture represent different value dimensions and bring a multifaceted view on how to understand and realize the value of big data.

Research limitations/implications

This study further elucidates big data and SCM literature by adding additional insights to how the value of big data in SCM can be conceptualized. As a limitation, the constructs and assimilated measures need further empirical evidence.

Practical implications

Practitioners could adopt the findings for conceptualization of strategies and educational purposes. Furthermore, the findings give guidance on how to discover, create and capture the value of big data.

Originality/value

Extant SCM theory has provided various views to big data. This study synthesizes big data and brings a multifaceted view on its value from a business process perspective. Construct definitions, measures and research propositions are introduced as an important step to guide future studies and research designs.

Details

International Journal of Operations & Production Management, vol. 38 no. 7
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 14 December 2020

Morten Brinch, Jan Stentoft and Dag Näslund

While big data creates business value, knowledge on how value is created remains limited and research is needed to discover big data’s value mechanism. The purpose of this…

Abstract

Purpose

While big data creates business value, knowledge on how value is created remains limited and research is needed to discover big data’s value mechanism. The purpose of this paper is to explore value creation capabilities of big data through an alignment perspective.

Design/methodology/approach

The paper is based on a single case study of a service division of a large Danish wind turbine generator manufacturer based on 18 semi-structured interviews.

Findings

A strategic alignment framework comprising human, information technology, organization, performance, process and strategic practices are used as a basis to identify 15 types of alignment capabilities and their inter-dependent variables fostering the value creation of big data. The alignment framework is accompanied by seven propositions to obtain alignment of big data in service processes.

Research limitations/implications

The study demonstrates empirical anchoring of how alignment capabilities affect a company’s ability to create value from big data as identified in a service supply chain.

Practical implications

Service supply chains and big data are complex matters. Therefore, understanding how alignment affects a company’s ability to create value of big data may help the company to overcome challenges of big data.

Originality/value

The study demonstrates how value from big data can be created following an alignment logic. By this, both critical and complementary alignment capabilities have been identified.

Details

Supply Chain Management: An International Journal, vol. 26 no. 3
Type: Research Article
ISSN: 1359-8546

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Article
Publication date: 14 May 2018

Morten Brinch, Jan Stentoft, Jesper Kronborg Jensen and Christopher Rajkumar

Big data poses as a valuable opportunity to further improve decision making in supply chain management (SCM). However, the understanding and application of big data seem…

Abstract

Purpose

Big data poses as a valuable opportunity to further improve decision making in supply chain management (SCM). However, the understanding and application of big data seem rather elusive and only partially explored. The purpose of this paper is to create further guidance in understanding big data and to explore applications from a business process perspective.

Design/methodology/approach

This paper is based on a sequential mixed-method. First, a Delphi study was designed to gain insights regarding the terminology of big data and to identify and rank applications of big data in SCM using an adjusted supply chain operations reference (SCOR) process framework. This was followed by a questionnaire-survey among supply chain executives to elucidate the Delphi study findings and to assess the practical use of big data.

Findings

First, big data terminology seems to be more about data collection than of data management and data utilization. Second, the application of big data is most applicable for logistics, service and planning processes than of sourcing, manufacturing and return. Third, supply chain executives seem to have a slow adoption of big data.

Research limitations/implications

The Delphi study is explorative by nature and the questionnaire-survey rather small in scale; therefore, findings have limited generalizability.

Practical implications

The findings can help supply chain managers gain a clearer understanding of the domain of big data and guide them in where to deploy big data initiatives.

Originality/value

This study is the first to assess big data in the SCOR process framework and to rank applications of big data as a mean to guide the SCM community to where big data is most beneficial.

Details

The International Journal of Logistics Management, vol. 29 no. 2
Type: Research Article
ISSN: 0957-4093

Keywords

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