bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting residential natural gas consumption in Egypt
Authors: Ismail Mohamed Ali , Abd El-Metaal Eman Mahmoud 
Published: July 2020

Purpose
This paper aims to obtain accurate forecasts of the hourly residential natural gas consumption, in Egypt, taken into consideration the volatile multiple seasonal nature of the gas series. This matter helps in both minimizing the cost of energy and maintaining the reliability of the Egyptian power system as well.

Design/methodology/approach
Double seasonal autoregressive integrated moving average-generalized autoregressive conditional heteroskedasticity model is used to obtain accurate forecasts of the hourly Egyptian gas consumption series. This model captures both daily and weekly seasonal patterns apparent in the series as well as the volatility of the series.

Findings
Using the mean absolute percentage error to check the forecasting accuracy of the model, it is proved that the produced outcomes are accurate. Therefore, the proposed model could be recommended for forecasting the Egyptian natural gas consumption.

Originality/value
The contribution of this research lies in the ingenuity of using time series models that accommodate both daily and weekly seasonal patterns, which have not been taken into consideration before, in addition to the series volatility to forecast hourly consumption of natural gas in Egypt.
Knowledge transfer for frugal innovation: where do entrepreneurial universities stand?
Authors: Fischer Bruno , Guerrero Maribel , Guimón José , Schaeffer Paola Rücker 
Published: July 2020

Purpose
Frugal innovation has gained prominence based on its potential contribution to sustainable development and the new opportunities that it offers to low-income customers. This paper aims to analyse the strategic knowledge transfer practices implemented by an entrepreneurial university for fostering frugal innovations within an emerging economy.

Design/methodology/approach
This study adopted a case study methodological approach. The selected case was the University of Campinas (Unicamp), one of the leading universities in Brazil in terms of research quality and technology transfer. The study built upon 14 interviews with key informants and secondary sources of data (official and public documents).

Findings
The findings highlight the multidimensional dynamics of frugal innovations arising from university–industry relationships. Key dimensions considered include the internal capabilities of universities to foster frugal innovations and connect them to markets, the surrounding innovation ecosystems in which the university is embedded and the overarching institutional framework.

Research limitations/implications
The analysis of strategic management practices for frugal innovation requires an evolutionary perspective, but the findings lacked sufficient longitudinal information for a formal evaluation. Also, as our empirical analysis is based on an in-depth case study of one university, further validation in other contexts would be necessary.

Practical implications
This study offers new insights regarding the effectiveness of university-business collaboration partnerships for developing frugal innovations in emerging economies. Policymakers should promote societal programs enhancing the active participation of all agents involved in the entrepreneurial and innovation ecosystem. University managers should understand the challenges and the opportunities behind the adoption of an inclusive and societal orientation.

Social implications
By adopting frugal innovation practices, universities can enhance their contribution of meeting the United Nations’ Sustainable Development Goals.

Originality/value
The literature on frugal innovation has emphasized the importance of networking between different types of firms, NGOs and governments, but the role of universities in frugal innovation remains mostly unexplored. This study addresses this gap by exploring how entrepreneurial universities participate in frugal innovations to meet societal challenges.
Discerning payment patterns in Bitcoin from ransomware attacks
Authors: Turner Adam B. , McCombie Stephen , Uhlmann Allon J. 
Published: July 2020

Purpose
The purpose of this paper is to investigate available forensic data on the Bitcoin blockchain to identify typical transaction patterns of ransomware attacks. Specifically, the authors explore how distinct these patterns are and their potential value for intelligence exploitation in support of countering ransomware attacks.

Design/methodology/approach
The authors created an analytic framework – the Ransomware–Bitcoin Intelligence–Forensic Continuum framework – to search for transaction patterns in the blockchain records from actual ransomware attacks. Data of a number of different ransomware Bitcoin addresses was extracted to populate the framework, via the WalletExplorer.com programming interface. This data was then assembled in a representation of the target network for pattern analysis on the input (cash-in) and output (cash-out) side of the ransomware seed addresses. Different graph algorithms were applied to these networks. The results were compared to a “control” network derived from a Bitcoin charity.

Findings
The findings show discernible patterns in the network relating to the input and output side of the ransomware graphs. However, these patterns are not easily distinguishable from those associated with the charity Bitcoin address on the input side. Nonetheless, the collection profile over time is more volatile than with the charity Bitcoin address. On the other hand, ransomware output patterns differ from those associated charity addresses, as the attacker cash-out tactics are quite different from the way charities mobilise their donations. We further argue that an application of graph machine learning provides a basis for future analysis and data refinement possibilities.

Research limitations/implications
Limitations are evident in the sample size of data taken on ransomware campaigns and the “control” subject. Further analysis of additional ransomware campaigns and “control” subjects over time would help refine and validate the preliminary observations in this paper. Future research will also benefit from the application of more powerful computing resources and analytics platforms that scale with the amount of data being collected.

Originality/value
This research contributes to the maturity of the field by analysing ransomware-Bitcoin behaviour using the Ransomware–Bitcoin Intelligence–Forensic Continuum. By combining several different techniques to discerning patterns of ransomware activity on the Bitcoin network, it provides insight into whether a ransomware attack is occurring and could be used to trigger alerts to seek additional evidence of attack, or could corroborate other information in the system.
Creatively expanding research from work-based learning
Authors: Scott Deborah 
Published: July 2020

PurposeThe purpose of this paper is to explore the potential of creativity in work-based research and practice to yield deeper understanding of practice situations. Unexpected insights can lead one (or a team) to identify new approaches, tackling workplace issues differently, leading to unexpected outcomes of long-term impact.Design/methodology/approachThis paper draws on work conducted for a doctoral thesis, investigating the impact of work-based learning for recent masters graduates of a work-based learning programme. Fiction was incorporated into analysis of the data, creating play scripts to represent key aspects of the researcher's perceptions and interpretations for each participant.FindingsResearch participants experienced personal, professional and organisational impact, although there was considerable variability between individuals. Additionally, societal impact was wished for and/or effected. The approach to representation of analysis, which involved fictionalising participants' experiences, created a strong Thirdspace liminality. This appeared to deepen awareness and understanding.Research limitations/implicationsSuch approaches can transform the researcher's perspective, prompting insights which lead to further adventure and development in work-based research and practice.Practical implicationsManagers and employees taking creative approaches in the workplace can prompt wide-ranging development and, with professional judgement, be constructive.Social implicationsManagers and employees taking creative approaches in the workplace can prompt wide-ranging development and, with professional judgement, be constructive.Originality/valueThe creation of play scripts, representing an interpretation of participants' stories about their work-based learning experience, is an innovative feature of this work.
Predictive analytics for blood glucose concentration: an empirical study using the tree-based ensemble approach
Authors: Liu Jiaming , Wang Liuan , Zhang Linan , Zhang Zeming , Zhang Sicheng 
Published: July 2020

PurposeThe primary objective of this study was to recognize critical indicators in predicting blood glucose (BG) through data-driven methods and to compare the prediction performance of four tree-based ensemble models, i.e. bagging with tree regressors (bagging-decision tree [Bagging-DT]), AdaBoost with tree regressors (Adaboost-DT), random forest (RF) and gradient boosting decision tree (GBDT).Design/methodology/approachThis study proposed a majority voting feature selection method by combining lasso regression with the Akaike information criterion (AIC) (LR-AIC), lasso regression with the Bayesian information criterion (BIC) (LR-BIC) and RF to select indicators with excellent predictive performance from initial 38 indicators in 5,642 samples. The selected features were deployed to build the tree-based ensemble models. The 10-fold cross-validation (CV) method was used to evaluate the performance of each ensemble model.FindingsThe results of feature selection indicated that age, corpuscular hemoglobin concentration (CHC), red blood cell volume distribution width (RBCVDW), red blood cell volume and leucocyte count are five most important clinical/physical indicators in BG prediction. Furthermore, this study also found that the GBDT ensemble model combined with the proposed majority voting feature selection method is better than other three models with respect to prediction performance and stability.Practical implicationsThis study proposed a novel BG prediction framework for better predictive analytics in health care.Social implicationsThis study incorporated medical background and machine learning technology to reduce diabetes morbidity and formulate precise medical schemes.Originality/valueThe majority voting feature selection method combined with the GBDT ensemble model provides an effective decision-making tool for predicting BG and detecting diabetes risk in advance.
How user-driven innovation and employee intrapreneurship promote platform enterprise performance
Authors: Wan Wenhai , Liu Longjun , Wang Xinxin 
Published: July 2020

PurposeThe purpose of this study is to investigate the impact of user-driven innovation (UDI) and employee intrapreneurship (EI) on the innovation performance of platform enterprises through the mediating role of market intelligence responsiveness (MIR) and the moderating role of knowledge and information resource acquisition (KRA and IRA, respectively) between MIR and innovation performance.Design/methodology/approachData were collected from 167 platform enterprises in northern, eastern and southern China with survey questionnaires. Participants were mainly middle and senior managers with a comprehensive grasp of the enterprises' information.FindingsThe results indicated that both UDI and EI, particularly synergy, positively influenced the innovation performance of platform enterprises. Furthermore, higher innovation performance resulted from high congruence between UDI and EI, and the innovation performance of enterprises increased when UDI and EI shifted from being incongruent to congruent. Lastly, MIR played a mediating role in this relationship, and both KRA and IRA played a positive moderating role between MIR and innovation performance.Practical implicationsPlatform enterprises should pay attention to external users and internal employees to achieve their development goals and establish tripartite cooperative relationships involving firms, employees and users. Enabling platform enterprises to develop continually and in a healthy way requires the integration and utilization of all types of resources.Originality/valueThis was an empirical study on the impact mechanism of employees and users on the innovation performance of platform enterprises in China.
The power of two-sided platforms to disseminate resistant innovations
Authors: Trabucchi Daniel , Buganza Tommaso 
Published: July 2020

PurposePlatforms have often been considered an excellent example of innovation with an incredibly fast diffusion rate due to network effects. Notwithstanding, in many cases, they match the definition of resistant innovations, requiring a significant change in the consumers' behavior that may slow down the process of diffusion. How can network effects be leveraged to disseminate resistant innovation based on a platform structure?Design/methodology/approachThis research focuses on the car-sharing industry as a single case study, involving five different providers and two service aggregators operating in Milan, Italy.FindingsFirst, this research shows how direct network externalities on the providers' side may play a vital role in the dissemination process, increasing the value perceived by the potential new entrants. Second, it shows how co-opetition dynamics, eventually encouraging multihoming phenomenon, may play – in the first phases of the diffusion process – a pivotal role to let the industry flourish.Research limitations/implicationsThis research contributes to the growing literature on platforms and two-sided platform showing how this model may be applied more broadly to network businesses to understand competitive dynamics.Practical implicationsThis study offers insights to managers and practitioners dealing with network services, showing the potential benefits of coopetitive strategies while facing the initial phases of the dissemination process.Originality/valueThis paper gets together resistant innovation, two-sided platforms and network effects offering novel insights on the dynamics of network services – such as the car-sharing – while giving fresh insights taking the perspective of the service providers.
Green manufacturing practices and sustainable performance among Ghanaian manufacturing SMEs: the explanatory link of green supply chain integration
Authors: Afum Ebenezer , Osei-Ahenkan Victoria Yaa , Agyabeng-Mensah Yaw , Amponsah Owusu Joseph , Kusi Lawrence Yaw , Ankomah Joseph 
Published: July 2020

PurposeThe aim of this study is to examine the explanatory link of green supply chain integration (GSCI) between green manufacturing practices (GMPs) and sustainable performance (economic [EP], environmental [EnP] and social [SP] performances) by using data from an emerging country.Design/methodology/approachAn explanatory research design was employed for the study. Structured questionnaires were used to collect data from 178 Ghanaian manufacturing small and medium-sized enterprises (SMEs). Hypotheses were formulated and tested using partial least square structural equation modeling (PLS-SEM).FindingsThe results indicate that GMPs have a significant positive effect on sustainable performance (EP, EnP and SP). Again, GMPs have a significant positive effect on GSCI. Additionally, GSCI plays a mediating role between green manufacturing practices and sustainable performance.Research limitations/implicationsIn this study, GSCI was compositely measured despite having three dimensions. Generalizing the findings is also not guaranteed since the sample constitutes Ghanaian manufacturing SMEs.Practical implicationsThe results provide significant ramifications for managers of manufacturing SMEs within Ghana and those in other sub-Saharan African context. Based on the results, managers of manufacturing firms will have stronger backing to invest in GMPs, while at the same time establish strong ties with eco-oriented supply chain partners so as to achieve their sustainable performance goals.Originality/valueThis study adds to the literature in the area of sustainability and triple bottom line by providing evidence from a fast growing industrialized and emerging country.
The construct of information privacy concerns in the Chinese cultural setting
Authors: Chen Xiaogang , Zhang Yuhui 
Published: July 2020

Purpose
The significant cultural difference between China and Western countries, primarily the USA, suggests that it is necessary for researchers to take an emic approach to understand how the concept of privacy concerns is interpreted from the perspective of people from within the Chinese culture. However, all privacy concerns studies in the Chinese context have virtually adopted an etic approach. Therefore, this study aims to answer the following questions: What dimensions do privacy concerns encompass in the Chinese cultural context? What are the structural relationships among these dimensions? The authors answer these questions by conducting a mixed method research.

Design/methodology/approach
The authors first content analyzed Chinese news reports about information privacy and found that trading, management and awareness are relevant dimensions of privacy concerns. Further, the authors validated the three dimensions by surveying 185 Chinese consumers.

Findings
The data showed that Chinese consumers’ privacy concerns have a second-order factor structure, where the trading, management and awareness dimensions are first-order factors.

Originality/value
The results of this research contribute to the literature by developing the construct of privacy concerns that fits the context of Chinese culture and also point out possible managerial practices to mitigate Chinese consumers’ privacy concerns.
Knowledge, attitudes and self-reported practices of food technical assistants toward hazard analysis critical control point in Isfahan, Iran
Authors: Ebdali Hadiseh , Sami Masoud , Bahreini Nimah , Esfandiari Zahra 
Published: July 2020

Purpose
The purpose of this paper is to evaluate the levels of food safety knowledge, attitudes and practices (KAP) of food technical assistants (FTAs) working in dairy processing plants (DPPs) with different grades of prerequisite programs (PRPs) checklist.

Design/methodology/approach
An observational cross-sectional study was carried out by using a self-administered questionnaire and interviewing 76 FTAs occupied in DPPs in the city of Isfahan, Iran.

Findings
Out of a total score of 100, the participants received scores for knowledge (79.5 ± 14.9), attitudes (75.2 ± 9.9) and practices (86 ± 11.6) referred to the principles of Hazard analysis Critical Control Point (HACCP). It was found correlations between food safety knowledge and attitudes of FTAs (r = 0.38, p ≤ 0), knowledge and practices (r = 0.21, p = 0.03) and between attitudes and practices (r = 0.36, p ≤ 0). Moreover, there were also significant correlations between KAP scores and age (knowledge: r = 0.18, p = 0.06; attitude: r = 0.25, p = 0.01; practice: r = 0.22, p = 0.02) and KAP scores and job satisfaction level (knowledge: r = 0.27, p = 0. 01; attitude: r = 0.22, p = 0.02; practice: r = 0.27, p = 0). There was no significant correlation between educational background and KAP scores. Furthermore, no significant correlation was found in terms of gender.

Originality/value
Education of FTAs about food safety issues seems necessary. Such training should not only focus on theoretical aspects of knowledge but also be practical to foster positive attitudes toward food safety and promote practices among FTAs. Consideration to all principles of PRPs is recommended to implement food safety management system (FSMS) in food processing plants (FPPs).
Generalized models for unidirectional anisotropic properties of 3D printed polymers
Authors: Nelson Jared W. , Atkins Dylan , Gottstine Matthew L. , Yang Jack , Garapic Gordana , Jaminion Stéphanie , Nelson Aaron , Wilson Katherine 
Published: July 2020

Purpose
The purpose of this paper is to empirically determine general models and methods for yield strength and modulus at different print orientations adequate for design purposes associated with typical fused deposition modeled (FDM) components/parts. Emphasis was placed on characterizing the impacts of anisotropy and resulting trends independent of material toward developing a method that matched the level of engineering required for current limited structural capabilities of FDM.

Design/methodology/approach
Tensile tests were performed with a range of unidirectional filament orientations of three different materials allowing for determination of the generalized models, which are then compared to previous findings of others.

Findings
Though anisotropic trends were similar to previous findings, minimum yield strength was found to be associated with filaments 75° from the loading direction resulting in a sinusoidal generalization. Modulus was found to be best approximated with an exponential decay. Resulting models allow for determination of yield strength and modulus in any orientation of FDM-printed material based on minimal testing.

Originality/value
This study is the widest range of angles and materials to be tested and analyzed for unidirectional FDM allowing for new trends to be identified. In line with the level of engineering required for most FDM components/parts, the resulting generalized models allow for determination of yield strength and modulus with less computation and minimal testing.
Bridges to affordability: adopting a university OAER mandate with local implementation
Authors: Riehman-Murphy Christina , Raish Victoria , Mross Emily , Pritt Andrea , Nelson Elizabeth 
Published: July 2020

Purpose
This paper aims to describe a case study of the open and affordable educational resources (OAER) initiatives led by Penn State University Libraries (UL) and implemented at its many campuses which are designed to address the challenges students experience accessing and funding their course materials.

Design/methodology/approach
This case study will show how a broad administrative mandate for high-level OAER initiatives created the environment for Penn State (PSU) to evolve from individual pioneering units into coordinated university-wide initiatives. This shift, spearheaded by administration with strong UL involvement, allowed for customized and targeted initiatives at its many campuses. By using UL’s centralized, but geographically dispersed, structure, library faculty and staff have been supported in their efforts to expand OAER from the ground up to meet individual contexts and campus needs.

Findings
As a result of its many open and affordable initiatives, PSUL has been able to demonstrate both savings and increased access for students across PSU’s many campuses and World Campus. Broad administrative support has created an environment which enabled UL faculty and staff to lead various initiatives.

Originality/value
UL has long been a leader and partner in open and affordability initiatives at PSU because of its core mission of providing access. By sharing the processes and logistics of how a large research institution with many campuses of various sizes implemented a wide variety of library-driven open and affordability initiatives through a centralized but geographically dispersed structure, academic libraries will be able to replicate similar initiatives in their unique contexts.