bluuebunny/crossref_metadata_2025_split huggingface dataset:
All of the people, all of the time: click on the link to join the meeting
Authors: van Eeden Adrian Mark 
Published: July 2020

Learning outcomes
Students should be able to use the case study in debate apply theories relating to the subjects specified.

Case overview/synopsis
The case is based on a fictitious South African company going through emergency response conditions analogous with what many businesses are encountering during the COVID crisis. The protagonist is struggling with structural challenges imposed on the business by unpredictable and uncontrollable external pressures and needs to make transformative decisions which might impact the culture, organisational design and digitisation of the business.

Complexity academic level
Post-graduate general management.

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CSS: 7 Management Science.
Scientific excellency model in Iran’s higher education case study: Guilan university of medical sciences
Authors: Hoseini Moghadam Mohammad , Heidarzadeh Abtin , Bashiri Hassan , Khoshrang Hossein , Dadgaran Ideh 
Published: July 2020

Purpose
The purpose of this paper is to answer the question of how scientific excellency can be achieved. The origin of scientific excellency in Iran, national and international experiences concerning the subject has been investigated to review the literature. The authors also designed a process and then a model to test the course. Guilan University of Medical Sciences was selected as a case study for the research.

Design/methodology/approach
The approach used in this paper is from Future Studies, with emphasis on the “Participatory Learning and Action” method. It means that different stakeholders, including the strategic council members, managers, faculty members, students, alumni and non-academic staff, have been involved in different parts of the process.

Findings
After semantic analysis of scientific excellency in the theoretical field; the examination of national and international experiences in universities; the analysis of higher-level documents of the Ministry of Health and Medical Education as well as strategic documents of the university; the determination of the strengths and weaknesses of the Guilan University of Medical Sciences in online survey; the completion of the scientific excellency canvas in the expert panel and finally obtaining other stakeholders, a conceptual model was designed for achieving scientific excellency.

Practical implications
The study of the actions, policies and trends of pioneering universities indicates that it is important to consider issues such as the internationalization of education and research and the modification of university structures. To achieve a superior national and international status, the university must specifically enhance a range of different aspects, from intangible aspects, such as motivation of employees to tangible aspects, such as human resources, structure and facilities.

Originality/value
Scientific excellency is going to be one of main streams between universities to attract top students and researchers from all over the world. There has been little academic attempt on scientific excellency. In this research, first the authors examined the concept of scientific excellency, criteria and measurement in higher education, then based on that case study and participatory action learning method, a conceptual framework to achieve scientific excellency in Iran’s higher education system was proposed.
Comparison of artificial intelligence and empirical models for energy production estimation of 20 MWp solar photovoltaic plant at the Saharan Medium of Algeria
Authors: Bouchouicha Kada , Bailek Nadjem , Razagui Abdelhak , EL-Shimy Mohamed , Bellaoui Mebrouk , Bachari Nour El Islam 
Published: July 2020

Purpose
This study aims to estimate the electric power production of the 20 MWp solar photovoltaic (PV) plant installed in the Adrar region, South of Algeria using minimal knowledge about weather conditions.

Design/methodology/approach
In this study, simulation models based on linear and nonlinear approaches were used to estimate accurate energy production from minimum radiometric and meteorological data. Simulations have been carried out by using multiple linear regression (MLR) and artificial neural network (ANN) models with three basic types of neuron connection architectures, namely, feed-forward neural network, cascade-forward neural network (CNN) and Elman neural network. The performance is measured based on evaluation indexes, namely, mean absolute percentage error, normalized mean absolute error and normalized root mean square error.

Findings
A comparison of the proposed ANN models has been made with MLR models. The performance analysis indicates that all the ANN-based models are superior in prediction accuracy and stability, and among these models, the most accurate results are obtained with the use of CNN-based models.

Practical implications
The considered model will be adopted in solar PV forecasting areas as part of the operational forecasting chain based on numerical weather prediction. It can be an effective and powerful forecasting approach for solar power generation for large-scale PV plants.

Social implications
The operational forecasting system can be used to generate an effective schedule for national grid electricity system operators to ensure the sustainability as well as favourable trading performance in the electricity, such as adjusting the scheduling plan, ensuring power quality, reducing depletion of fossil fuel resources and consequently decreasing the environmental pollution.

Originality/value
The proposed method uses the instantaneous radiometric and meteorological data in 15-min time interval recorded over the two years of operation, which made the result exploits a fact that the energy production estimation of PV power generation station is comparatively more accurate.
Surface roughness effects on non-Newtonian MHD non-parallel squeeze film bearing
Authors: Mouda Mouhcine , Nabhani Mohamed , El Khlifi Mohamed 
Published: July 2020

Purpose
The purpose of this paper is to examine the effect of surface roughness on the magneto-hydrodynamic (MHD) non-parallel squeeze film lubrication using non-Newtonian lubricant.

Design/methodology/approach
Based on the MHD thin film lubrication theory and the Stokes theory and homogenization method, the homogenized MHD Reynolds equation is derived considering the squeezing effect.

Findings
It is found that the obtained results indicate that the interaction among non-Newtonian, MHD and surface roughness influences is significant.

Originality/value
This study is original which compares the dimensionless load capacity and dimensionless response time among transverse, longitudinal and, for the first time, anisotropic surface roughness types under magneto-hydrodynamic non-Newtonian non-parallel squeeze film lubrication.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2020-0071/
Fretting wear behavior of WS2/ultra-high molecular weight polyethylene nanocomposites
Authors: Xin Xiaocui , Wang Yunxia , Meng Zhaojie , Liu Hao , Yan Yunfeng , Yan Fengyuan 
Published: July 2020

Purpose
This paper aims to focus on studying the addition of nano-tungsten disulfide (WS2) on fretting wear performance of ultra-high-molecular-weight-polyethylene (UHMWPE).

Design/methodology/approach
In this study, the effect of WS2 content on fretting wear performance of UHMWPE was investigated. The fretting wear performance of the UHMWPE and WS2/UHMWPE nanocomposites were evaluated on oscillating reciprocating friction and wear tester. The data of the friction coefficient and the specific wear rate were obtained. The worn surfaces of composites were observed. The transfer film and its component were analyzed.

Findings
With the addition of 0.5% WS2, the friction coefficient and specific wear rate increased. With the content increased to 1% and 1.5%, the friction coefficient and specific wear rate decreased. The lowest friction coefficient and specific wear rate were obtained with the addition of 1.5% nano-WS2. Continuingly increasing content, the friction coefficient and wear rate increased but lower than that of pure UHMWPE.

Research limitations/implications
The research indicated the fretting wear performance related to the content of nano-WS2 with the incorporation of WS2 into UHMWPE.

Practical implications
The result may help to choose the appropriate content.

Originality/value
The main originality of the research is to reveal the fretting behavior of UHMWPE and WS2/UHMWPE nanocomposites. It makes us realize the nano-WS2 had an effect on the fretting wear performance of UHMWPE.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2020-0151/
Context matters: enablers and barriers to knowledge sharing in Australian public sector ICT projects
Authors: Karagoz Yakub , Whiteside Naomi , Korthaus Axel 
Published: July 2020

Purpose
This paper aims to extend the theory relating to knowledge sharing barriers and enablers in the public sector information and communication technology (ICT) project context.

Design/methodology/approach
A case study method was used whereby project managers from each of the seven departments of the Victorian Public Sector in Australia were interviewed about their knowledge sharing practice. A semi-structured interview instrument based on Riege’s (2005) barrier framework was used to explore the barriers to knowledge sharing that they experienced as part of their work.

Findings
The study found that many of Riege’s (2005) barriers did not apply in the public sector ICT project environment, demonstrating that context matters. In addition, five enablers were identified, resulting in a new model of enablers and barriers to knowledge sharing in public sector ICT projects.

Research limitations/implications
This study focuses on a single case, the Victorian Public Sector, and consequently the results are not generalisable. Future research should explore the applicability of the model in other public sector ICT project contexts.

Practical implications
The study highlights the relationship between knowledge sharing and the project manager and the role it plays in project delivery. The model presented provides a starting point for public sector practitioners to develop their knowledge sharing practice, potentially enhancing project outcomes in the process.

Originality/value
This study examines barriers to knowledge sharing in an under-researched context, that of the public sector ICT project environment. It builds on current theory and provides insights for practitioners in the public sector.
Enterprise feedback management (EFM): what lies beyond the hype?
Authors: Aksoy Lerzan , Benoit Sabine , Joag Shreekant G. , Kandampully Jay , Keiningham Timothy Lee , Yan An L. 
Published: July 2020

PurposeThe needs of CMOs to utilize a firm's data productively in order to support decision-making combined with the reported benefits of enterprise feedback management solutions has resulted in a rapid rise in usage and valuation of EFM providers. The explicit promise of EFM providers is improved financial performance, whereas there is no scientific research investigating this link. To investigate the link between EFM usage and financial performance is core of this research.Design/methodology/approachTo gain insight into this link survey data from 127 US-based firms on their usage of EFM platforms was linked to their stock market performance over several years.FindingsThis research did not find any significant positive relationships between different aspects of EFM usage investigated and stock returns. It is important to note that these results should not be taken as validation that EFM systems do not result in positive financial outcomes for firms. It may be that superior market performance as measured through stock returns is difficult to observe through a cross-sectional analysis. Instead these results indicate that superior market performance as measured through stock market performance is not an obvious, generalizable outcome for firms that have adopted EFM systems.Originality/valueEFM has rapidly grown across many consumer facing industries, with EFM platform providers receiving very high market valuations on relatively small revenue streams. This is one of the first scientific papers to study the usage and impact of these EFM systems.
AI feel you: customer experience assessment via chatbot interviews
Authors: Sidaoui Karim , Jaakkola Matti , Burton Jamie 
Published: July 2020

PurposeWhile customer experience (CE) is recognized as a critical determinant of business success, both academics and managers are yet to find a means to gain a comprehensive understanding of CE cost-effectively. The authors argue that the application of relevant AI technology could help address this challenge. Employing interactively prompted narrative storytelling, and the authors investigate the effectiveness of sentiment analysis (SA) on extracting valuable CE insights from primary qualitative data generated via chatbot interviews.Design/methodology/approachDrawing on a granular and semantically clear framework for studying CE feelings, an artificial intelligence (AI) augmented chatbot was designed. The chatbot interviewed a crowdsourced sample of consumers about their recalled service experience feelings. By combining free-text and closed-ended questions, the authors were able to compare extracted sentiment polarities against established measurement scales and empirically validate our novel approach.FindingsThe authors demonstrate that SA can effectively extract CE feelings from primary chatbot data. This findings also suggest that further enhancement in accuracy can be achieved via improvements in the interplay between the chatbot interviewer and SA extraction algorithms.Research limitations/implicationsThe proposed customer-centric approach can help service companies to study and better understand CE feelings in a cost-effective and scalable manner. The AI-augmented chatbots can also help companies to foster immersive and engaging relationships with customers. This study focuses on feelings, warranting further research on AI's value in studying other CE elements.Originality/valueThe unique inquisitive role of AI-infused chatbots in conducting interviews and analyzing data in realtime, offers considerable potential for studying CE and other subjective constructs.
Tort law makes a quantum leap: a review of the civil liability regime for nuclear operators in UAE law
Authors: Jadalhaq Iyad Mohammad , Alqodsi Enas Mohammad 
Published: July 2020

Purpose
This study aims to illustrate the special liability regime applying to a nuclear operator for damage caused to individuals, property and natural resources, after the United Arab Emirates (UAE) implemented the Vienna Convention on Civil Liability for Nuclear Damage of 1963 through Federal Law No. 4 of 2012. This paper contrasts this special regime with the default regime of civil liability set out in the UAE Civil Code. The comparison helps clarify the legal nature of nuclear operator liability, the extent of protection it affords to the parties injured in a nuclear incident, the conditions under which it obtains, as well as the different damage headings it allows.

Design/methodology/approach
This paper is a desk-based legal research.

Findings
The main novelties enshrined in the special liability regime for nuclear facility operators are the adoption of an objective approach (strict liability) and the introduction of exceptions different from those contemplated in the default regime spelled out in the UAE Civil Code, thereby affording greater protection to victims of nuclear leakages.

Originality/value
This paper is a first in-depth commentary of UAE Federal Law No. 4 of 2012 Concerning Civil Liability for Nuclear Damage. Considering the UAE’s dualistic approach to the implementation of international obligations, and the present lack of reliable alternative avenues towards compensation beyond private operator liability, the overview provided here will be of value to regional and international practitioners – including from neighbouring countries to the UAE (Oman, Qatar, Bahrain) – that are not currently signatories to any convention on nuclear liability.
Integrated processing of sustainability accounting reports: a multi-utility company case study
Authors: Paolone Francesco , Sardi Alberto , Sorano Enrico , Ferraris Alberto 
Published: July 2020

Purpose
Organisations rarely adopted integrated processes for developing sustainability reports, although the literature and the business context recommend them for efficient reporting to describe the economic, environmental and/or social impacts of organisational activities. Based on system dynamics, this paper aims to propose an integrated process for producing sustainability reports.

Design/methodology/approach
The authors conducted action research involving a multi-utility enterprise. This company offers a wide range of public services covering integrated water utilities, environmental hygiene service, transport and mobility and cemeterial management.

Findings
The main steps of a process for defining and representing integrated sustainability reports are described, giving a concrete practical example of how the procedure can be applied to a multi-utility company.

Originality/value
System dynamics used as the major contributor to developing integrated sustainability reports also takes into account the nonlinear behaviour of complex systems. Results and implications are assessed from an integrated thinking and reporting perspective.
Incubator efficiency vs survival of start-ups
Authors: Zapata-Guerrero Francisco Tomás , Ayup Jannett , Mayer-Granados Elizabeth L. , Charles-Coll Jorge 
Published: July 2020

Purpose
The purpose of this paper is to contribute to the knowledge on the efficiency of the incubators in Mexico, from a double-managerial approach (incubator and start-ups) measuring the efficiency oriented to the survival growth in the employment.

Design/methodology/approach
The efficiency of 25 business incubators of a university in a Mexico was analyzed from 2012 to 2014. Through the envelope data analysis (DEA) technique, composed of five inputs and three outputs, which help to determine the decision-making units (DMUs) that are in the best practice border, being able to know the factors relevant and how they have been managed in the different incubators.

Findings
One of the three years observed was identified as the most efficient, with 13 start-ups at the most efficient border. The projection shows some entries that must be modified to maximize the creation of new incubated business with a focus on survival and growth. The authors propose the resources that must be modified to adopt efficient management practices for incubators and start-ups small size.

Research limitations/implications
This analysis recognizes the size and restriction of resources as a determinant in the efficiency of intermediate technology business incubators. However, an obvious limitation is the non-standardized sample of 25 incubators does not allow generalizing the results.

Practical implications
The special support received by start-ups linked to a university with strong financial and non-financial support.

Originality/value
Dual management (incubator and incubated start-ups) approach to efficiency analysis and the use of the DEA for the incubation topic and to fill a gap persists in the understanding of creation of new business in intermediate technology.
Simulation of the effect of COVID-19 outbreak on the development of branchless banking in Iran: case study of Resalat Qard–al-Hasan Bank
Authors: Shahabi Vahid , Azar Adel , Faezy Razi Farshad , Fallah Shams Mir Feyz 
Published: July 2020

PurposeCOVID-19 has become a global challenge with a significant rate of prevalence, and it has exerted devastating consequences in epidemic, economic and social terms. Therefore, a number of studies have already been, or are now being, conducted on the detrimental effects of the virus. In this respect, a question may arise: Is there any possibility to turn the threat of the virus outbreak into an opportunity in some sectors such as the banking industry? In this research, the effects of COVID-19 outbreak as an intervening element on the acceptance of branchless banking were studied.Design/methodology/approachIn this research, the factors affecting the acceptance and development of branchless banking in Iran at the time of COVID-19 outbreak were identified by systematically studying the theoretical framework, conducting further research and interviewing the experts; then, a causal loop diagram of the problem in the proposed case study and the flow rate model were presented.FindingsThe simulation results showed that banking transactions and a bank's financial resources would increase by implementing the package policy of reducing the number of branches, promoting incentive policies and increasing the budget rate of the bank in Information Technology (IT). Further, by promoting customers' acceptance of new technologies, the spread of COVID-19 can be viewed as a positive factor, or even a catalyst, in the acceptance and development of branchless banking in Iran.Originality/valueBased on the proposed model, the difficulties faced by individuals during the spread of COVID-19 could act as justifiable incentives to boost appropriate organizational preparations for making changes to the classic working processes. Processes such as telecommuting, job rotation and so on are among these changes.
Performance management perception in Kenya
Authors: Odongo Nickson Hebert 
Published: July 2020

Purpose
This paper aims to present an analysis of the perception of performance management practices and transformations by investigating what devolved governments of Kenya are doing and ought to do after which the approaches of performance and performance management are evaluated.

Design/methodology/approach
A descriptive assessment of five devolved governments of Kenya is carried out. This study covered 518 respondents across the above-sampled governments.

Findings
The outcomes demonstrated that there are guidelines established by the counties to measure the performance of workers where tested variables about setting performance standards and performance review information against their effect on performance improvement and performance measurement, respectively, are statistically significant, and therefore have a positive impact on the eventual performance of devolved governments.

Practical implications
The results support scholars, practitioners and social scientists in development studies for the planning and management of public organizations. The thought of factors that enhance or impede devolved government workers’ performance can be explored in future research.

Originality/value
The thought of performance management perception, especially in a developing country, is a theoretical milestone.