bluuebunny/crossref_metadata_2025_split huggingface dataset:
An innovative big data framework for exploring the impact on decision-making in the European Mediterranean healthcare sector
Authors: El Samad Mahmoud , El Nemar Sam , Sakka Georgia , El-Chaarani Hani 
Published: March 2022

PurposeThe purpose of this paper is to propose a new conceptual framework for big data analytics (BDA) in the healthcare sector for the European Mediterranean region. The objective of this new conceptual framework is to improve the health conditions in a dynamic region characterized by the appearance of new diseases.Design/methodology/approachThis study presents a new conceptual framework that could be employed in the European Mediterranean healthcare sector. Practically, this study can enhance medical services, taking smart decisions based on accurate data for healthcare and, finally, reducing the medical treatment costs, thanks to data quality control.FindingsThis research proposes a new conceptual framework for BDA in the healthcare sector that could be integrated in the European Mediterranean region. This framework introduces the big data quality (BDQ) module to filter and clean data that are provided from different European data sources. The BDQ module acts in a loop mode where bad data are redirected to their data source (e.g. European Centre for Disease Prevention and Control, university hospitals) to be corrected to improve the overall data quality in the proposed framework. Finally, clean data are directed to the BDA to take quick efficient decisions involving all the concerned stakeholders.Practical implicationsThis study proposes a new conceptual framework for executives in the healthcare sector to improve the decision-making process, decrease operational costs, enhance management performance and save human lives.Originality/valueThis study focused on big data management and BDQ in the European Mediterranean healthcare sector as a broadly considered fundamental condition for the quality of medical services and conditions.
Study on fibre reinforced composites developed by using recycled fibres from garment cut waste
Authors: Rajesh kumar C. , Vidya T. , Kanimozhi J. , Raja D. , Balaji J. , Jayakumari M. , Prakash C. 
Published: March 2022

PurposeRecycled fibres used as reinforcements are obtained from garment cut wastes of cotton, polyester and cotton/polyester fabrics to develop these composites. These composites are developed by using Epoxy resin, Kaolinite, Polypropylene sheet as matrices. Reinforcements and matrices have been used in different compositions and combinations to develop these composites. The main advantages of this type of composites are to combine the different properties of different materials to obtain unique and high-performance material.Design/methodology/approachGarment cut wastes from apparel industries are used for various applications in various industries. Normally, garment cut wastes and recycled fibres from garment cut wastes are used in textile, furniture, carpet, paper, automobile, construction and agricultural industries in low mechanical performance applications. In this research, composites are developed by using recycled fibres obtained from garment cut wastes as reinforcement and with different types of matrices.FindingsTechnical properties like thickness, mass per unit area, Tensile strength, Flexural strength, Impact strength, Water absorbency and Scanning Electron Microscope of developed composites were tested and analyzed. The outcome of the results demonstrates that many of the composite proportions with different blend, reinforcement and matrcies show superior mechanical performances when compared with each other, and it can be recommended for many potential applications.Originality/valueThe properties of composites are dependent on the different blend proportions of recycled fibres with reinforcement and matrices. Based on the result of tensile strength, polyester/cotton fibre reinforced composites show superior strength compared to other recycled fibre reinforced samples and it can be suitably tailored further by appropriate design of different lay-up angle and orientation with the number of different preformed layers of reinforcements to suit the intended applications.
Blockchain announcements and stock value: a technology management perspective
Authors: Liu Weihua , Wang Jingkun , Jia Fu , Choi Tsan-Ming 
Published: March 2022

PurposeThis study aims to explore the impact of blockchain announcements on enterprises' stock market value.Design/methodology/approachBased on resource-based theory, this study constructs a complete framework of the impact mechanism of blockchain announcements on the stock price of the announcing firm using the data of 143 blockchain announcements. An event study methodology is used in this research, and the market model, market-adjusted model and Carhart four-factor model are used to estimate stock abnormal returns after the blockchain announcement; and the cross-sectional regression model is used to test the influencing factors.FindingsBlockchain announcements elicit a significantly positive market reaction on the release day. Compared to announcements not pertaining to technical innovation, blockchain technical innovation announcements exhibit a more positive market reaction towards the announcing companies. Strategic-level announcements exhibit a more positive market reaction than operational-level announcements. Enterprise characteristics, such as enterprise-scale and enterprise innovation ability, do not affect stock market reactions to blockchain announcements.Practical implicationsThe findings reveal the economic value of conducting blockchain activities in the Chinese stock market. Findings of this study can help managers understand the value of implementing blockchain activities in a different market environment and guide them on how to improve the market value of their enterprises through the active implementation of blockchain activities.Originality/valueTo the best of the authors’ knowledge, this is the first event study to focus solely on the value of pure blockchain announcements in an emerging market. This study considers multiple resource and capability factors that would influence blockchain technology adoption, improve the current understanding of how blockchain announcements affect corporate stock prices and provide directions for future comparative studies of market reactions to blockchain announcements in different stock markets.
Exploring institutional competing logic for sustainability implementation of retail chains
Authors: Dagilienė Lina , Varaniūtė Viktorija , Pütter Judith Maja 
Published: March 2022

PurposeTaking into account retailers' critical position in the value chain, their sector's economic significance and environmental externalities, in addition to the institutional agenda, this paper aims to explore the drivers influencing retailers to shift to more sustainable business models.Design/methodology/approachThe paper utilises the institutional competing logic, including in-depth interviews with major supermarket retail chains and one expert group discussion. The data gathered in Germany and Lithuania were complemented by desk research analysis, including corporate social responsibility (CSR) reports and management reports.FindingsThe paper provides empirical insights into how multiple drivers through institutional competing logic are brought about influencing the shift to more sustainable business models. The results show that retail chains in both countries implement their sustainability based on triple environmental-legal-financial drivers. However, different types of retail chains–namely premium retailers, typical retailers and discounters–implement their sustainability discourse differently.Research limitations/implicationsBecause of the chosen research approach, the results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further.Social implicationsInterestingly, retailers “shift” their responsibility to the consumers rather than encourage themselves to make more sustainable choices. The authors observe a more passive and responsive role of retailing chains because of the inherent trade-off between revenue growth and sustainable consumption.Originality/valueThe original contribution lies in exploring how retail chains adapt institutional competing logic and are influenced by multiple drivers when implementing their sustainability activities. In addition, the authors propose a conceptual model for retailers' sustainability management, as well as formulate three research propositions.
Marketplace measurement: farmers, farmers markets and ecosystem services
Authors: DeMets Catie , Morales Alfonso 
Published: March 2022

PurposeFarmers markets act as a nexus between farmers, community members and social values, and can foster significant community and environmental benefits. However, some of these benefits, including agricultural sustainability, are rarely measured or publicized, restricting the full potential of markets and their associated actors to generate public benefits. This study aims to consider how markets, planners and policymakers might address this gap to promote a healthy environment and climate change mitigation.Design/methodology/approachIn this article, the authors discuss their efforts to advance the above opportunity by developing, in collaboration with 20 farms across the USA, a citizen science data collection tool that measures and translates farm “ecosystem services” into accessible, public-facing formats to support informed farmer and consumer decision-making.FindingsThe authors present takeaways from exploratory interviews with three farmer-collaborators, which illustrate how tools like ours can help farmers in myriad ways: setting benchmarks to measure on-farm improvement over time, legitimizing their work through scientific grounding, communicating environmental impacts to public audiences, increasing sales to fund sustainability efforts, gaining competitive edge and others.Practical implicationsMore broadly, the article exemplifies how marketplaces can strengthen symbiotic linkages between individuals, community allies and social goals through data measurement and communication, and reflects on how planners and policymakers might support these connections to advance public purposes.Originality/valueThis research responds uniquely to a critical need identified by practitioners and academics to expand understanding and awareness of the ecosystem services farms provide.
Integrating online and offline channels for online customer loyalty: the moderating role of retailer credibility
Authors: Ma Tianyi , Wu Xia , Li Yang 
Published: March 2022

PurposeUnderstanding customer behavior from the perspective of channel integration has become a major stream of research in multi-channel retailing literature. Yet, despite recent advancements in scholarship, how retailers can most effectively sustain customers in online retailing remains unclear. Scholars have suggested online–offline channel integration (OOCI) as an effective multi-channel approach for increasing online loyalty; yet, few studies have explored OOCI's influencing mechanism. This study addresses that gap by investigating how OOCI helps achieve customer loyalty online and further examines the moderating role of retailer credibility in the influencing mechanism of OOCI.Design/methodology/approachThe research model driving this study draws upon the stimulus-organism-response (S-O-R) model and cue consistency theory. The authors collected a sample of 259 customers in China with experience making multi-channel purchases from retailers that have implemented OOCI in online retailing. Structural equation modeling and response surface analyses were employed to conduct data analysis.FindingsThe results revealed that the relationship between OOCI and customers' online channel loyalty was mediated by customers' perceptions of the usefulness and risks of online channel usage. The results also found that congruence and incongruence between informational OOCI (IOOCI) and fulfillment OOCI (FOOCI) had different curvilinear associations with perceived online channel usefulness and perceived online channel risk. In addition, retailer credibility weakened the effects of IOOCI on perceived online channel usefulness and FOOCI on perceived online channel risk but strengthened the effect of IOOCI on perceived online channel risk and had no impact on the effect of FOOCI on perceived online channel risk.Originality/valueTheoretical and practical implications of this study are also discussed.
The mobile technological era: insights into the consequences of constant connectivity of personal devices by knowledge workers
Authors: Seedoyal Doargajudhur Melina , Hosanoo Zuberia 
Published: March 2022

PurposeAs employees’ adoption of Bring Your Own Device (BYOD) has increased, so has research interest into the impact of BYOD on human resources outcomes. The present study aims at understanding the relationship between BYOD and human resources outcomes.Design/methodology/approachThe study employs the inductive data-driven content analysis approach to analyze the data collected through qualitative semi-structured interviews with a sample of 28 knowledge workers from different occupational sectors in Mauritius.FindingsThe results show the double-edged sword brought about by BYOD implementation. This trend is associated with perceived job performance, job satisfaction, organizational commitment and work motivation while also having an effect on work-life conflict and stress.Practical implicationsThis study has implications for organizations that are concerned about formulating guidelines and policies in relation to workers' adoption of BYOD in the workplace. This trend permits employees to continue to communicate and work irrespective of new working conditions and social distancing since the Covid-19 pandemic has changed the way organizations operate around the globe.Originality/valueDriven by the JD-R theory, themes and sub-themes were linked by the emerging relationships to present a conceptual framework to understanding employees' well-being since this is a pertinent research area for scholars and practitioners, as well as a topic of growing prominence for modern organizations.
Hate towards brands of educational institutions: she hates for ideology, and he hates for previous experiences
Authors: Gois Arquimedes Martins , Moura Luiz Rodrigo Cunha , Gonçalves Filho Cid , Chinelato Flavia Braga 
Published: March 2022

PurposeDespite the growing competition between higher education institutions and the empirical evidence that the brand is a relevant determinant of consumer preference, research studies on negative consumer–brand relationships (CBRs) are still scarce. Thus, this research intends to fill this gap, determining the antecedents of brand hate in educational institutions and identifying gender differences regarding the determinants of brand hate.Design/methodology/approachA survey was carried out with 450 current students from higher education institutions. The proposed model was tested using partial least squares structural equation modeling (PLS-SEM) in SmartPLS3.FindingsAccording to the results, previous negative experiences are the most significant driver of brand hate, with higher emphasis on male students. In this sense, investment in customer experience management (CXM) consists of a relevant strategy for higher education institutions. It was also observed that female students develop hate for ideological incongruity (ethical/moral behavior) and symbolic incongruence (lack of brand identity), revealing unprecedented facets of the phenomenon.Originality/valueThis research extends the studies’ negative CBRs to educational institutions. It explores gender differences related to brand hate; a topic not explored before, but that enables a targeted approach of brand strategies. Finally, it provides managerial implications allowing the strategy to reduce negative CBRs and their consequences in educational institutions.
A review of coopetition and future research agenda
Authors: Meena Abhilasha , Dhir Sanjay , Sushil Sushil 
Published: March 2022

PurposeThis research aims to conduct a systematic review of the literature on coopetition to assess its impact on firm performance in various contexts.Design/methodology/approachA bibliometric analysis of 144 papers from 1999 to 2021 and analysis of literature under the premise of theory, context, characteristics and methodology using the Theory–Context–Characteristics–Methodology (TCCM) approach was conducted using Institute for Scientific Information Web of Sciences data on coopetition literature.FindingsThe study enlists the influential journals, evolutions and citations of the articles and particularly identifies six research streams under the domain of coopetition and additionally charts out the future research agenda.Practical implicationsThe results highlighted in this study may be helpful for managers and practitioners to understand the dynamics of a strategic alliance with their competitor organizations. Moreover, managers may utilize the coopetition strategy to enhance customer value and leverage this relationship for more excellent firm performance. Furthermore, the results obtained through cluster analysis can be considered as a start point to develop frameworks for a business relationship with competitors. This study utilizes content analysis and bibliometric analysis to assess the diverse view and understand the development of the field that may help the researchers increase the rigor and transparency of reviewing the literature and answer various questions that may arise to assess competitors’ interorganizational relationships.Originality/valueNo systematic literature review has analyzed the literature on coopetition using the TCCM approach and identified various research streams under the perspective of different contextual settings.
Secured platform for healthcare data: privacy preservation based blockchain environment
Authors: Raghav Nidhi , Bhola Anoop Kumar 
Published: March 2022

Purpose
To make more smart health-care system, the health-care data should be shared in the secure manner, and it improves health-care service quality. This paper aims to implement a modern decentralized blockchain, safe and easy-to-use health-care technology application in the cloud.

Findings
On observing the graph, the convergence analysis of proposed Levy Flight-integrated moth flame optimization method at 80th iteration was 4.59%, 2.80%, 3.316%, 8.92% and 2.55% higher than the traditional models MFO, artificial bee colony (ABC), particle swarm optimization (PSO), moth search algorithm (MSA) and glow worm swarm optimization (GWSO), respectively, for Hungarian data set. Particularly, in best case scenario, the adopted method attains low cost value (5.672671) when compared to all other traditional models such as MFO (5.727314), ABC (5.711577), PSO (5.706499), MSA (5.764517) and GWSO (5.723353).

Originality/value
The proposed method achieved effective performance in terms of key sensitivity, sanitization effectiveness, restoration effectiveness, etc.
The unsolicited proposal and performance of private participation infrastructure projects in developing countries
Authors: Ayat Muhammad , Ullah Azmat , Kang Changwook 
Published: March 2022

Purpose
The primary purpose of this study is to explore the relationship between the unsolicited proposal (USP) and the performance of private participation infrastructure (PPI) projects in developing countries.

Design/methodology/approach
The main data set for this study was collected from the World Bank database consisting of 8,951 PPI projects that occurred in developing countries from 1996 to 2020. Hierarchical logistic regression was applied for investigating the effects of USPs on project success. Three moderators, namely, control of corruption, presence of local sponsor and project size were also included in the model to test the impact of their interactions with the USP on the performance of PPI projects. Further, to assess the impact of the effect of USPs, the average marginal effect was calculated. The framework used in this study consists of 18 control variables, three moderators and one noncontrolled independent variable (the USP).

Findings
The results of hierarchical logistic regression indicate that USPs have a significant and negative effect on the success of PPI projects occurring in developing countries. The negative effect of a USP weakens with the presence of local sponsors and stronger control of corruption in the host country. However, contrary to the authors’ expectations, the results show that project size does not significantly affect the association between USPs and the success of PPI projects. Moreover, the results of average marginal effects show that the negative impact of USP on the success of PPI projects ranges between 2.4% and 3.8%.

Originality/value
This study quantifies the negative impact of USP on the success of PPI projects in developing countries, which will be helpful for the practitioners to understand the associated risk with USP projects. Furthermore, it also identifies the moderating roles of control of corruption and the presence of local sponsors on the relationship between USP and the success of PPI projects.
Universal design for learning principles and students with learning disabilities: an application with general education teachers in Saudi Arabia
Authors: Mohamed Abeer Toson , Alqurashi Malak Abdrabuha , Alshmmry Sara 
Published: March 2022

Purpose
This study aims to identify the degree to which general education teachers use the principles of universal design for learning (UDL) in teaching and evaluating students with learning disabilities, moderated by gender, experience and qualification. Ethical approvals were requested and reported from teachers prior to their participation.

Design/methodology/approach
This study collected questionnaire data from male and female teachers from the eastern region of the Kingdom of Saudi Arabia between 2019 and 2021.

Findings
General education teachers were devoted to using UDL principles for teaching and assessing students with learning disabilities. The one used most often was “Providing multiple tools for presenting information by the teacher.” Moreover, there were statistically significant differences between participants whose experiences were 5–10 and < 5 years toward the third principle (providing learning opportunities that suit individual differences among students). Additionally, there were no statistically significant differences possibly ascribed to qualification. However, there were statistically significant differences between those who held postgraduates and diploma holders, also showed that there were no statistically significant differences at <0.05 that could be ascribed to qualification variable.

Originality/value
Teachers use UDL principles specifically. The current research is distinguished from previous studies as it targets teachers of general classes and measures how much they use UDL in teaching and evaluating students with learning disabilities. To the knowledge of the researcher, no Arab studies have examined this subject.