bluuebunny/crossref_metadata_2025_split huggingface dataset:
Online learning and teaching for the SDGs – exploring emerging university strategies
Authors: Holmes Jayden , Moraes Oli Rafael , Rickards Lauren , Steele Wendy , Hotker Mette , Richardson Anthony 
Published: August 2021

Purpose
The purpose of this paper is to explore emerging synergies and tensions between the twin moves to the United Nations Sustainable Development Goals (UN SDGs) and online learning and teaching (L&T) in higher education institutions (HEIs).

Design/methodology/approach
A preliminary global exploration of universities’ SDG-based L&T initiatives was undertaken, using publicly available grey and academic literature. Across a total sample of 179 HEIs – identified through global university rankings and analysis of all 42 Australian universities – 150 SDG-based L&T initiatives were identified. These were analysed to identify common approaches to embedding the SDGs.

Findings
Five key approaches to embedding the SDGs into online (and offline) HEI L&T were identified: designing curricula and pedagogy to address the SDGs; orienting the student experience towards the SDGs; aligning graduate outcomes with the SDGs; institutional leadership and capability building; and participating in cross-institutional networks and initiatives. Four preliminary conclusions were drawn from subsequent analysis of these themes and their relevance to online education. Firstly, approaches to SDG L&T varied in degree of alignment between theory and practice. Secondly, many initiatives observed already involve some component of online L&T. Thirdly, questions of equity need to be carefully built into the design of online SDG education. And fourthly, more work needs to be done to ensure that both online and offline L&T are delivering the transformational changes required for and by the SDGs.

Research limitations/implications
The research was limited by the availability of information on university websites accessible through a desk-top review in 2019; limited HEI representation; and the scope of the 2019 THE Impact Rankings.

Originality/value
To date, there are no other published reviews, of this scale, of SDG L&T initiatives in universities nor analysis of the intersection between these initiatives and the move to online L&T.
Analysis of static and dynamic characteristics of aerostatic bearing with reflux orifices
Authors: Chen Shixiong , Zhang Qiyong , Fu Bao , Liu Zhifan , Li Shanshan 
Published: August 2021

Purpose
The purpose of this paper is to provide a solution for Reynolds equation with both throttling term and reverse throttling term and provides a reference for changing damping of hydrostatic bearing.

Design/methodology/approach
The reverse throttling term is introduced into the Reynolds equation, and the adaptive damping factor is used in the Newton iteration method to improve convergence of numerical calculations. The static and dynamic performances of this bearing are numerically investigated by the finite-element method.

Findings
The results indicate that the reflux orifices lead to a decrease in load capacity at a high eccentricity ratio. Additionally, the mass inflow rate is increased; however, the additional inflow increase can be controlled by enhanced backpressure of the reflux orifice. Nevertheless, the bearing with the reflux orifice shows superiority in resisting high-frequency disturbances and enhances direct damping by 20% under a high backpressure.

Originality/value
This work presents an adaptive Newton damping iterative method for solving Reynolds equation with both throttling term and reverse throttling term. This work also provides a new idea for bearing structure design in improving damping.
Impact of Brexit on Islamic stock markets: employing MGARCH-DCC and wavelet correlation analysis
Authors: Çıkıryel Burak , Aslan Hakan , Özdemir Mücahit 
Published: August 2021

Purpose
This paper aims to study the co-movement dynamics of Islamic equity returns to explain international portfolio diversification opportunities for investors having a heterogeneous stock holding period in light of Brexit.

Design/methodology/approach
The authors use the following three recent methodologies: the multivariate generalised autoregressive conditional heteroskedastic-dynamic conditional correlations, continuous wavelet transforms and maximum overlap discrete wavelet transform. Dow Jones Islamic country-based indexes are used from 2 September 2013 to 31 December 2019.

Findings
There is a high correlation between the United Kingdom (UK) Islamic stock market return with the Canadian, USA, Malaysian and Indian implying lesser diversification benefits for the investors. However, the results tend to indicate that UK Islamic stock market investors who have allocated their investment in Sri Lanka, Kuwait, Japan and Turkey have enjoyed diversification benefits. Besides, there is a declining correlation between UK Islamic stock markets and other selected markets aftermath of Brexit. Turkey seems the most volatile stock over the period, appealing to risk-lover investors to gain from price changes. When the shock occurs in the financial sector, the volatility is mean-reverting faster than other markets in Sri Lanka. On the other hand, Malaysia appears to have the least volatility implying a stable financial sector.

Research limitations/implications
The results tend to shed light on effective portfolio diversification benefits in light of the recent shock (Brexit) between the UK Islamic stock index and other selected indexes that vary from country to country depending on investment horizons. This critically confirms the significance of heterogeneity in investment horizons and provides significant inferences for portfolio diversification strategies.

Originality/value
To the best of the authors’ knowledge, this study is the first study investigating the Brexit effect on Islamic stocks, guiding Shariah sensitive investors in their diversification strategies, providing information to investors to consider the implications of this incident on Islamic stocks for future shocks.
Expectancy violation in a Facebook group: What is your response?
Authors: Tomasi Stella , Han Chaodong , Otto James 
Published: August 2021

PurposeFacebook groups provide a forum for members to post content and engage with others through comments. Sometimes members behave poorly and violate the expectations of group members. In this study, the authors build a research framework based on expectancy violation theory (EVT) to predict and better understand the behaviour and responses of members when faced with violations in their groups.Design/methodology/approachFacebook group members completed surveys regarding their interactions in social media groups. The independent variable predictors in the study were categorized by personal characteristics, relationship characteristics and group characteristics. Participants also identified expectancy violations they had encountered (either severe or mild) and identified how they would react to the two types of violations. Regression models were developed for severe and mild violations.FindingsThe regression models show that personal characteristics such as age, gender and marital status; relationship characteristics such as their social media usage frequency and their social media engagement level; group characteristics such as anonymity of users and purpose of the group as well as the perceived severity of the violation influence how a member will respond to the expectancy violation.Originality/valueThe research study extends the existing expectancy violation literature by providing a comprehensive framework to predict how users will react to negative expectancy violations. This study also has practical implications for how group administrators might manage expectancy violations.
Development of an inline inspection robot for the detection of pipeline defects
Authors: Daniyan Ilesanmi , Balogun Vincent , Ererughurie Oghenetano Kilter , Daniyan Lanre , Oladapo Bankole Ibrahim 
Published: August 2021

Purpose
The purpose of this study is to develop a robot for non-destructive testing of the pipelines to improve its reliability and reduce the loss of products due to cracks, corrosions, etc.

Design/methodology/approach
In this study, an inline inspection robot was developed for crack and corrosion detection in the pipeline. The developed robot consists of ultrasonic sensors to avoid obstacles, a visual aid with high resolution to view real time images and colour sensors for corrosion detection. The Autodesk inventor software was used for the drafting and solid modelling of the robot. A dummy pipe of 500 mm diameter and 2,000 mm length with induced cracks and corrosion was fabricated to test the robot. The colour sensors placed at each side of the robot were used to detect corrosion in the dummy pipe whilst the image processing was done to analyse the crack, as well as the type and depth of corrosion present in the dummy pipe.

Findings
The results obtained show the ability of the developed robot to detect cracks and determine the crack growth in the pipeline in addition to its ability to determine corrosion.

Practical implications
Hence, the study provides a diagnostic tool for detecting pipeline defects and analysing the extent of defects to determine the fatigue rate and the useful life of the pipeline.

Originality/value
The novelties of this study is based on the fact that it was designed to avoid obstacles and check for cracks, leakage and corrosion in pipelines autonomously. It has visual aid that makes it possible to see the interior of the pipe. This makes it easier to identify the defect and the location of the defects before a catastrophic failure. The device is also equipped with sensors, which can detect defects and send the signal to a control system, as well as a Bluetooth device so the operator can have real time information about the state and integrity of the pipelines. The system is also integrated with a Bluetooth device, which permits its compatibility with Android and other mobile applications. Thus, the enabled user can send a command to query the state of the pipeline at any location with the feedback received in the form of short message service. Hence, this study offers contribution in the development of an independent (self-governing) system with the capability to autonomously detect defects in pipe walls and effectively communicate feedback to the authorised users. The prototype model for the evaluation of pipeline integrity will bring about a more proactive way to detect pipeline defects so that effort can be geared towards its restoration before it becomes a major problem, which will subsequently affect productivity and incur losses.
Constructing generational identity through counterfeit luxury consumption
Authors: Khan Sameeullah , Fazili Asif Iqbal , Bashir Irfan 
Published: August 2021

PurposeThis paper aims to theorize counterfeit luxury consumption among millennials from a generational identity perspective.Design/methodology/approachThe paper proposes and tests a model of counterfeit buying behavior using an online survey of 467 millennial respondents. The study uses multi-item measures from the extant literature and uses the structural equation modeling technique to test the proposed hypotheses.FindingsThe findings reveal when millennials have a self-defining relationship with their generation, they tend to internalize the generational norm pertaining to counterfeit luxury consumption. Millennials’ counterfeit related values: market mavenism, postmodernism, schadenfreude and public self-consciousness contribute to their generational identity. Moreover, market mavenism, cool consumption and public self-consciousness establish counterfeit luxury consumption as a generational norm.Practical implicationsThe findings of this paper suggest that the expertise and influence of market mavens can be used to deter counterfeit consumption. Moreover, luxury brands must communicate a cool image to offset the rebellious image of counterfeits. Further, from a standardization versus adaption standpoint, the generational perspective allows for the standardization of anti-counterfeiting campaigns.Originality/valueThe paper makes a novel contribution to the counterfeiting literature by demonstrating that millennials pursue counterfeit luxury brands when they pledge cognitive allegiance to their generation. The paper, thus, extends the identity perspective of counterfeit luxury consumption to group contexts. The authors also test and validate the role of descriptive norms in group contexts by introducing the construct generational norm to counterfeiting literature.
How do consumers choose offline shops on online platforms? An investigation of interactive consumer decision processing in diagnosis-and-cure markets
Authors: Lee Jennifer JooYeon , Ma Zecong 
Published: August 2021

PurposeThe purpose of this paper is twofold: (1) to understand the process and consequences of the two-way communication between consumers and businesses on online-to-offline (O2O) diagnosis-and-cure services platforms and (2) to examine how consumer request-specific factors and service quote-specific factors influence consumer decisions in the interactive marketing context.Design/methodology/approachThe study analyzes a dataset of 17,878 service requests and 57,867 price quotes obtained from an O2O platform bridging consumers and automotive repair shops. On the platform, consumers request service quotes by uploading the description of automotive damage and multiple service providers suggest price quotes. The authors formulated a logit model to examine consumer decisions of responding service quotes.FindingsThis paper finds that (1) consumers receiving more severe diagnostic results are more likely to respond to the price quotes, and (2) diagnostic severity and inconsistency moderate the impacts of geographic distance, shop size, and quote price on consumers' responses to the service quotes.Research limitations/implicationsThis paper fills the gap in the literature by advancing the consumer decision processing model to address the interactive shopping experience on O2O diagnosis-and-cure services platforms. The findings are limited by the data and the research context.Practical implicationsFor marketing practitioners, the empirical results imply specific positioning and targeting strategies for markets with informational and geographic barriers to expand the market scope and customer base.Originality/valueThe present work is the first to examine the consumer decision process on O2O diagnosis-and-cure service platforms. It adds value to the literature by investigating how consumers update their problem awareness through the service request-specific factors (i.e. diagnostic severity and diagnostic inconsistency) and how the request-specific factors moderate the impacts of the quote-specific factors (i.e. shop distance, shop size and quote price) on consumers' responses to price quote. The conceptual model and empirical findings provide theoretical and practical values for e-commerce researchers and practitioners.
A dynamic business model for Turkish techno parks: looking through the lenses of service perspective and stakeholder theory
Authors: Polat Gülçin 
Published: August 2021

Purpose
The purpose of this paper is to analyze the business model of techno parks (TPs) in Turkey and shed light on the value co-creation in TPs in the light of the service perspective and stakeholder theory.

Design/methodology/approach
In this conceptual paper, a generic business model canvas for Turkish TPs has been elicited based on an in-depth review of the literature. Then, the functioning of the model and the nature of value co-creation have been viewed through the lenses of service perspective and stakeholder theory, and then the relationships and flows between the components of the business model have been visualized with a dynamic model.

Findings
The institutional environment leads Turkish TPs to have similar business models with functional differences. The value is co-created by stakeholders in TPs and value co-creation depends on the skills, competencies and cooperative efforts of all actors involved in the functioning of the business model.

Practical implications
This paper provides insight for TP management companies to improve their business models, for policymakers to refine institutional framework to enable effective functioning of TPs and for stakeholders to understand their role in value co-creation.

Originality/value
This paper provides a dynamic framework and a model for understanding business models of TPs and the value co-creation process, which is an understudied area, especially in a developing country context. It also extends the business model and value co-creation literature in the context of TPs by integrating multiple theoretical perspectives.
Quality of government health data in COVID-19: definition and testing of an open government health data quality evaluation framework
Authors: Wu Dan , Xu Hao , Yongyi Wang , Zhu Huining 
Published: August 2021

PurposeCurrently, countries worldwide are struggling with the virus COVID-19 and the severe outbreak it brings. To better benefit from open government health data in the fight against this pandemic, this study developed a framework for assessing open government health data at the dataset level, providing a tool to evaluate current open government health data's quality and usability COVID-19.Design/methodology/approachBased on the review of the existing quality evaluation methods of open government data, the evaluation metrics and their weights were determined by 15 experts in health through the Delphi method and analytic hierarchy process. The authors tested the framework's applicability using open government health data related to COVID-19 in the US, EU and China.FindingsThe results of the test capture the quality difference of the current open government health data. At present, the open government health data in the US, EU and China lacks the necessary metadata. Besides, the number, richness of content and timeliness of open datasets need to be improved.Originality/valueUnlike the existing open government data quality measurement, this study proposes a more targeted open government data quality evaluation framework that measures open government health data quality on a range of data quality dimensions with a fine-grained measurement approach. This provides a tool for accurate assessment of public health data for correct decision-making and assessment during a pandemic.
An investigation of designing, developing and modifying business excellence frameworks
Authors: Ghafoor Saad , Grigg Nigel Peter , Mann Robin 
Published: August 2021

Purpose
This paper aims to investigate how business excellence (BE) custodians (BECs) design, develop and modify their BE frameworks (BEFs) and to provide a general framework for reviewing BEFs. The design process is important to understand as these BEFs are used to help organisations understand the components of BE to guide them towards world-class performance.

Design/methodology/approach
The first step was to identify all the BE awards (BEAs) worldwide and their BEFs by conducting a review of publicly available sources. This research was then limited to only those BEAs that were held no more than two years ago. Of these, 29 BECs (with active BEAs) in 26 countries agreed to participate in the research. Data was collected with the help of a survey and 13 BECs also undertook optional follow-up interviews.

Findings
In total, 56 countries and regions have 65 active BEAs with another 17 countries having BE initiatives. The EFQM excellence model and the Baldrige excellence framework are used by 37.7% and 14.5% of BECs worldwide, respectively. In total, 58.3% of the BECs review their BEFs once every three years or sooner, 100% of the BECs are confident in their BEFs’ fundamental concepts and 96.5% in their categories. There are fewer active BEAs now and the use of BE is potentially decreasing which suggests that more effort is required by the BECs in promoting BE.

Originality/value
This research collects data directly from the BECs on how BECs design and develop BEFs and provides a general framework for reviewing BEFs.
The experience of COVID-19 “lockdown” for people with a learning disability: results from surveys in Jersey and Guernsey
Authors: Peacock-Brennan Sinead , Stewart Kitty , Angier Rosalind Jayne , Morris Julian , Rud Rachel , Byrom Thomas 
Published: August 2021

Purpose
The purpose of this paper is to outline a service evaluation that gathered feedback from people with a learning disability on their experience of lockdown in Jersey and Guernsey. This feedback was intended to guide planning for service provision during any future lockdown and for life as we exit lockdown.

Design/methodology/approach
An accessible survey was sent to everyone accessing learning disability services across the two islands and Mencap in Jersey. Data was analysed quantitatively and qualitatively to identify patterns in the data and key themes.

Findings
Most respondents felt safe, calm and happy and valued support from services. Key themes emerging from the data included the importance of relationships, messages of safety, keeping busy and communication.

Originality/value
This survey has been undertaken at a time where there is a paucity of research and consultation with individuals with a learning disability self-reporting on their experiences of lockdown, during the COVID-19 pandemic.
Machine learning improvements to compressive sensing for speech enhancement in hearing aid applications
Authors: Vanjari Hrishikesh B , Kolte Mahesh T 
Published: August 2021

Purpose
Speech is the primary means of communication for humans. A proper functioning auditory system is needed for accurate cognition of speech. Compressed sensing (CS) is a method for simultaneous compression and sampling of a given signal. It is a novel method increasingly being used in many speech processing applications. The paper aims to use Compressive sensing algorithm for hearing aid applications to reduce surrounding noise.

Design/methodology/approach
In this work, the authors propose a machine learning algorithm for improving the performance of compressive sensing using a neural network.

Findings
The proposed solution is able to reduce the signal reconstruction time by about 21.62% and root mean square error of 43% compared to default L2 norm minimization used in CS reconstruction. This work proposes an adaptive neural network–based algorithm to enhance the compressive sensing so that it is able to reconstruct the signal in a comparatively lower time and with minimal distortion to the quality.

Research limitations/implications
The use of compressive sensing for speech enhancement in a hearing aid is limited due to the delay in the reconstruction of the signal.

Practical implications
In many digital applications, the acquired raw signals are compressed to achieve smaller size so that it becomes effective for storage and transmission. In this process, even unnecessary signals are acquired and compressed leading to inefficiency.

Social implications
Hearing loss is the most common sensory deficit in humans today. Worldwide, it is the second leading cause for “Years lived with Disability” the first being depression. A recent study by World health organization estimates nearly 450 million people in the world had been disabled by hearing loss, and the prevalence of hearing impairment in India is around 6.3% (63 million people suffering from significant auditory loss).

Originality/value
The objective is to reduce the time taken for CS reconstruction with minimal degradation to the reconstructed signal. Also, the solution must be adaptive to different characteristics of the signal and in presence of different types of noises.