bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spam detection and high-quality features to analyse question –answer pairs
Authors: Wang Hei Chia , Chiang Yu Hung , Lin Si Ting 
Published: November 2020

Purpose
In community question and answer (CQA) services, because of user subjectivity and the limits of knowledge, the distribution of answer quality can vary drastically – from highly related to irrelevant or even spam answers. Previous studies of CQA portals have faced two important issues: answer quality analysis and spam answer filtering. Therefore, the purposes of this study are to filter spam answers in advance using two-phase identification methods and then automatically classify the different types of question and answer (QA) pairs by deep learning. Finally, this study proposes a comprehensive study of answer quality prediction for different types of QA pairs.

Design/methodology/approach
This study proposes an integrated model with a two-phase identification method that filters spam answers in advance and uses a deep learning method [recurrent convolutional neural network (R-CNN)] to automatically classify various types of questions. Logistic regression (LR) is further applied to examine which answer quality features significantly indicate high-quality answers to different types of questions.

Findings
There are four prominent findings. (1) This study confirms that conducting spam filtering before an answer quality analysis can reduce the proportion of high-quality answers that are misjudged as spam answers. (2) The experimental results show that answer quality is better when question types are included. (3) The analysis results for different classifiers show that the R-CNN achieves the best macro-F1 scores (74.8%) in the question type classification module. (4) Finally, the experimental results by LR show that author ranking, answer length and common words could significantly impact answer quality for different types of questions.

Originality/value
The proposed system is simultaneously able to detect spam answers and provide users with quick and efficient retrieval mechanisms for high-quality answers to different types of questions in CQA. Moreover, this study further validates that crucial features exist among the different types of questions that can impact answer quality. Overall, an identification system automatically summarises high-quality answers for each different type of questions from the pool of messy answers in CQA, which can be very useful in helping users make decisions.
Can “bad” stressors spark “good” behaviors in frontline employees? Incorporating motivation and emotion
Authors: Wang Jiaxin (Sylvia) , Fu Xiaoxiao , Wang Youcheng 
Published: November 2020

PurposeThis study aims to investigate the antecedents of frontline employees’ boundary-spanning behaviors in the hospitality industry. Anchored in transactional stress theory, affective events theory and motivation theories, a conceptual model was built to explore the impacts of hindrance stressors on boundary-spanning behavior.Design/methodology/approachData were collected from frontline employees in the hospitality industry in the USA. Confirmatory factor analysis and structural equation modeling were used.FindingsThe findings revealed that despite hindrance stressors’ negative indirect impact on frontline employees’ boundary-spanning behaviors, intrinsic motivation worked effectively to reduce hindrance stress and influence subsequent emotions leading to boundary-spanning behaviors.Practical implicationsThis study provides substantial and detailed strategies for hospitality practitioners who are pressed to alleviate the hindrance stressors from which frontline employees frequently suffer, foster employees’ positive emotions and ease negative emotions while promoting boundary-spanning behaviors. Cultivation of employees’ intrinsic motivation and emotional management is encouraged, as is effective organizational structure and management intervention. All of these are deemed helpful in buffering employees’ work-related stress while motivating them to go above and beyond their nominal duties.Originality/valueVery few studies have examined how “bad” hindrance stressors affect boundary-spanning behaviors. Rather than suggesting that hindrance stressors are relevant only to counterproductive behaviors, this study extends both the stress and boundary-spanning literature by uncovering the impact of hindrance stressors on frontline employees’ boundary-spanning behaviors while accounting for the roles of workers’ motivation and emotion.
Application of consumer innovativeness to the context of robotic restaurants
Authors: Kim Jinkyung Jenny , Choe Ja Young (Jacey) , Hwang Jinsoo 
Published: November 2020

PurposeThe purpose of this paper is to apply the concept of consumer innovativeness to the robotic restaurants field.Design/methodology/approachA research model including 13 hypotheses is examined using a sample of 409 subjects gathered.FindingsThe results indicate that four underlying dimensions of consumer innovativeness have a positive effect on overall image, which, in turn, increases desire. In addition, desire aids to enhance the two dimensions of behavior intentions.Practical implicationsRobotic restaurant managers are required to focus more on quality experience-seeking, hedonic experience-seeking, venturesomeness and social distinctiveness using automated systems, which aid to enhance the image of robotic restaurants.Originality/valueConsumer innovativeness is regarded as a significant concept in the domain of a novel technology-based product and service, but it has not been explored in the restaurant context. Thus, this study tried to apply consumer innovativeness to the robotic restaurant industry for the first time and explained how to form consumer behavioral intentions based on the concept.
Identifying interrelationships among factors affecting innovation archetypes: the case of China
Authors: Al-Sayed Rafif , Yang Jianhua 
Published: November 2020

Purpose
This paper aims at studying the concept of innovation ecosystems and investigating the factors affecting them based on their interrelationships with respect to different innovation archetypes.

Design/methodology/approach
The methodology is based on using multivariate statistical analysis of the inter-correlations among a number of variables which led to extracting a reduced set of new significant factors that affect China’s innovation ecosystem.

Findings
The results showed that innovation archetypes differ significantly with respect to the majority of the new factors.

Practical implications
Through identifying these challenges, decision-makers can develop a better understanding of the variables affecting each archetype of innovation and act accordingly.

Originality/value
The study is the first to fill the gap of addressing a large number of variables affecting innovation and analyzing their interrelationships.
An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics
Authors: Brindha N.V. , Meenakshi V.S. 
Published: November 2020

PurposeAny node in a mobile ad hoc network (MANET) can act as a host or router at any time and so, the nodes in the MANET are vulnerable to many types of attacks. Sybil attack is one of the harmful attacks in the MANET, which produces fake identities similar to legitimate nodes in the network. It is a serious threat to the MANET when a malicious node uses the fake identities to enter the network illegally.Design/methodology/approachA MANET is an independent collection of mobile nodes that form a temporary or arbitrary network without any fixed infrastructure. The nodes in the MANET lack centralized administration to manage the network and change their links to other devices frequently.FindingsSo for securing a MANET, an approach based on biometric authentication can be used. The multimodal biometric technology has been providing some more potential solutions for the user to be able to devise an authentication in MANETs of high security.Research limitations/implicationsThe Sybil detection approach, which is based on the received signal strength indicator (RSSI) variations, permits the node to be able to verify the authenticity of communicating nodes in accordance with their localizations.Practical implicationsAs the MANET node suffers from a low level of memory and power of computation, there is a novel technique of feature extraction that is proposed for the multimodal biometrics that makes use of palm prints that are based on a charge-coupled device and fingerprints, along with the features that are fused.Social implicationsThis paper proposes an RSSI-based multimodal biometric solution to detect Sybil attack in MANETs.Originality/valueThe results of the experiment have indicated that this method has achieved a performance which is better compared to that of the other methods.
Value creation through innovation in the primary sector
Authors: Colman Pablo , Harwell Jan , Found Pauline 
Published: November 2020

Purpose
Innovation is a growing topic. The primary sector is also a subject that has great importance in the global economy. However, limited research has been conducted linking these two subjects. This paper aims to start bringing them together.

Design/methodology/approach
The method selected is a systematic literature review presenting a thorough analysis of the existing discussions and a summary of the findings to identify future research opportunities.

Findings
Innovation has played and will continue to play an essential role in the success of fisheries. The fishing industry is in crisis. A decline in wild fish stocks, regulations and quota management are some of the factors that drive the need to innovate. The discussions of innovation in this industry are non-technological, which is an emerging field with opportunities for further research. There is a strong focus on fisheries sustainability. The main theoretical frameworks discussed in the literature are common property theory, cooperation and competition theory and diffusion of innovation. Emerging environmental sustainability frameworks are also becoming an essential element in the primary sector.

Research limitations/implications
This paper focuses on peer-reviewed publications based on the results of the searches from selected keywords, recognizing that the literature evaluated may not cover the full spectrum of themes related to this subject.

Originality/value
Innovation is usually linked to high tech and fast-moving industries. This paper tries to broaden this paradigm and evaluate it from a different perspective, with a focus on the primary sector.
Inquiry in higher education for sustainable development: crossing disciplinary knowledge boundaries
Authors: Galvão Cecília , Faria Cláudia , Viegas Wanda , Branco Amélia , Goulão Luís 
Published: November 2020

PurposeThis paper aims to understand if a project work methodology proposed to students, based on an inquiry perspective and dealing with different dimensions of sustainable development, contributed to creating an interdisciplinary solution for a problem on sustainability challenged by food production and consumption, and also to understand if this methodological approach is perceived as important to their learning as professionals and citizens. Data were collected by direct observation, a questionnaire applied to the students and students’ individual reflections.Design/methodology/approachThis paper aims to present the research results of the impact of a pedagogical approach on students, implemented as a part of the Doctoral Programme in Sustainability Science, which was designed following an innovative model at the University of Lisbon, Portugal. The main drivers include building a new body of interdisciplinary knowledge leading to the application of science to address real problems towards transdisciplinary education.FindingsThe results suggest great potential for an inquiry perspective in trying to solve a real problem. Students’ proposals were realistic, viable and complementary enough to collectively contribute in response to the global problem. The use of approaches acquired from different areas of knowledge was clear, and the project methodology was well understood. Students considered the experience very rewarding in terms of learning and contributing positively to their personal and professional development.Originality/valueThis Doctoral programme is anchored in a progressive continuum encompassing holistic debates with a multidisciplinary team of professors in environments that promote interdisciplinary attitudes and new knowledge, and also project work aimed at guiding students to transdisciplinary learning, which constitutes an innovative form of dealing with the complex challenges created by the science of sustainability.
A review of challenges and opportunities of blockchain adoption for operational excellence in the UK automotive industry
Authors: Upadhyay Arvind , Ayodele Julius Oluwasunkanmi , Kumar Anil , Garza-Reyes Jose Arturo 
Published: November 2020

PurposeThis paper aims to explore the challenges and opportunities of blockchain technology adoption from the lens of the technological–organisational–environmental (TOE) framework for operational excellence in the UK automotive industry context.Design/methodology/approachThe research methodology of this study follows a systematic review approach, which analyses existing academic published research papers in the top 35 academic journals. There was no specific timeframe established for this study and shortlisting the articles through a set of used keywords. A sample of 71 articles was shortlisted and analysed to provide a discussion on technological and management challenges and opportunities of blockchain adoption from the lens of the TOE framework for operational excellence.FindingsThe findings of this study present significant theoretical and managerial implications and deep understanding for firms seeking to understand the challenges and opportunities of blockchain adoption for their operational excellence.Research limitations/implicationsThe systematic literature approach was considered for the present study to explore existing academic papers on technological and management challenges and opportunities from the lens of TOE framework for operational excellence, whereas a more specified method meta-analysis can be considered for future research. The study has been explored in the UK automotive industry context, which has been considered as the limitation of generalisation across countries and industries.Originality/valueThis paper represents the most comprehensive literature study related to the technological and management challenges and opportunities of blockchain from the TOE framework angle for operational excellence.
CFIUS issues final regulations on national security review of foreign investments in the United States under FIRRMA: broader reach, mandatory filings, and limited exceptions
Authors: Dohale Sonali , Bombach Kara M. , Brennan Cyril T. , Latour Renée A. , Urie Axel S. 
Published: November 2020

Purpose
The article examines the sweeping changes to the review process undertaken by Committee on Foreign Investment in the United States (CFIUS) as a result of the Foreign Investment Risk Review Modernization Act of 2018 (FIRRMA). The Article specifically reviews the long-awaited final sets of regulations, effective as of February 13, 2020, and analyzes their impact on the CFIUS process, as well as considers the implications of FIRRMA for parties to foreign acquisition, control, and investment transactions.

Design/methodology/approach
The Article begins with an overview of the CFIUS framework and a general explanation of FIRRMA. It then moves to an analysis of FIRRMA and the resulting changes to the prior CFIUS regime. The Article concludes with general considerations and provides recommendations for parties who may find themselves analyzing the potential applicability of CFIUS to foreign acquisition and investment transactions.

Findings
FIRRMA resulted in significant changes to the existing CFIUS regulatory framework.

Practical implications
Parties should learn the CFIUS changes as a result of FIRRMA, including the new mandatory filing requirements as well as implications for non-controlling investment transactions. Parties should include CFIUS analysis and planning in the earliest stages of deal planning and due diligence.

Originality/value
The article provides an in-depth review of the changes to CFIUS resulting from FIRRMA. The changes to the existing CFIUS landscape have resulted in new mandatory filing requirements and expanded jurisdiction over non-controlling investment and real estate transactions, which are discussed in the article.
Mobile banking usage and gamification: the moderating effect of generational cohorts
Authors: Çera Gentjan , Pagria Ina , Khan Khurram Ajaz , Muaremi Lindita 
Published: November 2020

PurposeThe extended unified theory of acceptance and use of technology (UTAUT2) model has been adapted and applied by scholars to gain insight into mobile banking (m-banking) usage. By combining three perspectives, UTAUT2, gamification (GM) and generational cohort theory, this study aims to investigate the factors which impact m-banking usage and examine the moderating effect of generations Y and Z on the relationship between GM and intention to use m-banking.Design/methodology/approachThe adopted model was tested in a quantitative study by using partial least square structural equation modelling. A total of 380 valid questionnaires from a transition country, Albania, have been examined.FindingsIn the study, scientific evidence concerning the UTAUT2 model and GM elements are provided. Thus, facilitation conditions, habit and hedonic motivation were found to be significant determinants of GM. Moreover, the results revealed that age moderates the relationship between GM and behavioural intention (BI). Compared to generation Z, individuals born prior to 1996 (generation Y), exhibited a much stronger relationship.Research limitations/implicationsAlthough Albania bears similarities with other transition countries in terms of regional, economic and political environments, the generalisation of these results to another context is rather limited.Practical implicationsThis paper offers a model integrating UTAUT2, GM and generational cohorts in the context of a transition country. The findings can be applied in the form of guidelines for a number of financial institutions.Originality/valueBesides identifying the determinants of m-banking adoption and GM, this study notably reveals the importance of generational cohorts because it governs the effect of GM on m-banking BI.
Influence of student-perceived service quality on sustainability practices of university and student satisfaction
Authors: Chaudhary Sartaj , Dey Ajoy Kumar 
Published: November 2020

Purpose
The past decade has seen a proliferation of research on service quality in education. However, little attempt has been made to understand the impact of student perceived service quality on sustainability practices of the university or the effect of such practices on student satisfaction. To bridge this gap, this paper aims to propose a conceptual framework to examine the relationships between service quality, sustainable practices and student satisfaction from the perspective of students.

Design/methodology/approach
A quantitative methodology was employed, and data were collected through an online structured questionnaire. Responses were gathered from undergraduate students (n = 419) studying in four colleges affiliated to a university in Delhi, India. Exploratory and confirmatory factor analyses were used to validate the instruments. Structural equation modelling was used to examine the associations between the constructs.

Findings
The research revealed that student perceived service quality in education has a significant effect on their perception of sustainable practices of the university and student satisfaction. Further, sustainable practices predict student satisfaction.

Research limitations/implications
The findings may guide the key decision-makers in the education industry to incorporate service quality and sustainable practices in their strategy and thereby enhance student satisfaction.

Originality/value
This research is the first of its kind to examine the impact of service quality as perceived by students on the perception of sustainability practices of the university. Further, it empirically tests the effect of perceived sustainability practices on student satisfaction.
Least‐cost path analysis for urban greenways planning: A test with moths and birds across two habitats and two cities
Authors: Balbi Manon , Croci Solène , Petit Eric J. , Butet Alain , Georges Romain , Madec Luc , Caudal Jean‐Pierre , Ernoult Aude 
Published: November 2020

Abstract

One of the major planning tools to respond to urban landscape fragmentation is the development of ecological corridors, that is, interconnected networks of urban green and blue spaces. Least‐cost paths (LCP) appear to be an easy and appropriate resistance‐based modelling method to respond to urban planners’ needs. However, the ecological validation of urban corridors using LCP is rarely performed and needs to be generalized to different species, habitats and cities.

We developed an experimental design to test the efficiency of LCP predictions to detect highly connecting landscape contexts that facilitate individual movements compared to movements in less connecting landscape contexts. We deliberately assigned LCP analysis parameters based on the scientific literature and expert knowledge to test a method potentially easy to use for urban stakeholders. To extend the validation, we applied our LCP model to two biological taxa with different habitat requirements: grassland‐dwelling moths and forest‐dwelling passerines, and to two medium‐sized cities.

We used mark–release–recapture (MRR) methods for moths and playback recall protocols for passerines to compare the patterns of individual movement between two contrasted connectivity contexts determined by the presence and absence of modelled LCPs. MRR protocol estimated movement rates between herbaceous patches and the two contrasted connectivity contexts. Playback recall protocol consisted in attracting individuals from wooded patches to the two contrasted connectivity contexts. A movement was considered facilitated, when displacement was rapidly engaged and individuals moved a long distance from their wooded patch.

Moth and passerine movement patterns differed between the two connectivity contexts: moth recapture rates were higher in highly connecting contexts than in less connecting contexts. For passerine birds, responses to playback recalls were faster and movement distance longer in highly connecting contexts. All results support the hypothesis that both taxa were more prone to move in corridors modelled by LCP.

Synthesis and applications. The convergence of the results for different biological models and across cities strengthens the relevance of LCP analysis for planning urban greenways and provides guidelines for landscape planners in the development of these corridors to favour the movement and survival of multiple urban species.