bluuebunny/crossref_metadata_2025_split huggingface dataset:
Employees’ sabotage formation in upscale hotels based on conservation of resources theory (COR): antecedents and strategies of attachment intervention
Authors: Meng Bo , Choi Kyuhwan 
Published: February 2021

PurposeRooted in conservation of resources (COR) theory (frequently applied to conflict and stress). The purpose of this study is to classify customer stressors into dysfunctional attitude and behavior and proposes strategies, such as parent and colleague attachment, as a resource pool to prevent employees’ sabotage behavior.Design/methodology/approachA two-step method was adopted by the suggestion from Anderson and Gerbing (1998) with an on-site survey carried out within ten upscale hotels.FindingsStudy results indicated that dysfunctional customers significantly influence service sabotage through job burnout and depression. In addition, attachment was demonstrated as an effective strategy by examining its moderating effects.Research limitations/implicationsTheoretically, the mechanism of sabotage formation was clarified as external customers’ factors (i.e. dysfunctional attitude and behavior) as well as internal psychological factors (i.e. negative states such as burnout and depression). Practically, the attachment (i.e. colleagues and parents) was identified as an effective moderator for preventing sabotage, although only in the early stage (i.e. depression stage).Originality/valueFor the first time, the current study attempts to explain the sabotage formation process by using COR with the integration of intervention.
Evaluation of interaction between housing infrastructure resilience factors against flood hazard based on rough DEMATEL approach
Authors: Sen Mrinal Kanti , Dutta Subhrajit , Kabir Golam 
Published: February 2021

Purpose
Housing infrastructure is the basic need for people of a community and due to disaster many houses may severaly damaged. Stakeholders and decision makers should focus on this issue and make the infrastructure more resilient against natural hazards. As dependency plays a very important role in resilience, it is important to study the dependencies and correlations among the housing infrastructure resilience factors. The evaluation of dependencies involve vagueness due to subjective judgement of experts.

Design/methodology/approach
In this work, the interaction between the housing infrastructure resilience factors are evaluated by using two different approaches such as crisp DEMATEL (Decision-Making and Trial Evaluation Laboratory) and rough DEMATEL (intregated crisp DEMATEL and rough set theory), where rough theory addressed the involvement of vagueness. These two approaches are compared with each other to find the effectiveness of rough DEMATEL over crisp DEMATEL.

Findings
The important factors of housing infrastructure resilience are identified by using both the approaches against flood hazard.

Research limitations/implications
The limitation of rough DEMATEL method is that it does not differentiate the type of influence such as positive or negative.

Practical implications
The outcome of the work will helps the stakeholders and ecission makers to make the infrastructure more resilient.

Originality/value
This study identify the imporatnat resilience factors of housing infrastructure against flood hazard by using two methodologies.
The drivers of social entrepreneurship: agency, context, compassion and opportunism
Authors: Stirzaker Rebecca , Galloway Laura , Muhonen Jatta , Christopoulos Dimitris 
Published: February 2021

PurposeThe paper refers to the drivers of social entrepreneurship and critically explores the notion that it is prompted by a personal mission to enable some social or ideologically motivated altruism. It refers to Shapero's Entrepreneurial Event Theory and the adaptation of it for social entrepreneurship in Mair and Noboa (2006) and develops these so that both agency and context may be considered.Design/methodology/approachFieldwork comprised a qualitative sample of 12 life-story narratives of social entrepreneurs in Central Scotland. The location was chosen because of its reputation for support of social entrepreneurship, and the qualitative methodology allowed for a depth of inspection and analysis of complex and situational experiences.FindingsFindings include observation of altruism but there are other drivers, including the appeal of the social entrepreneurship business model. Context emerges as a critical feature of social entrepreneurship too, including spurs for altruism and the human, financial and social capitals, skills and experiences of social entrepreneurs.Originality/valueThe paper finds that the social entrepreneurship process involves both agency and context and is complex, and for some, reflects a strategic approach similar to commercial entrepreneurship. The paper also proposes further adaptation to Entrepreneurial Event Theory to capture this complexity of the social entrepreneurship process.
Teachers' learning in extraordinary times: shifting to a digitally facilitated approach to lesson study
Authors: Calleja James , Camilleri Patrick 
Published: February 2021

PurposeThe research reported in this paper brings forth the experiences of three teachers working in different schools. These teachers learned about lesson study through a course offered at the University of Malta while, at the same time, leading a lesson study with colleagues at their school. With the COVID-19 outbreak, these teachers had, out of necessity, to adopt and accommodate for their lesson study to an exclusive online approach. This paper, hence, focuses on teachers' learning as they shifted their lesson study online.Design/methodology/approachThis paper presents a case study that delves into the experiences and perceptual insights that these teachers manifested in shifting to an exclusive online lesson study situation. Data collection is derived from a focus group discussion, teacher reflective entries and detailed reports documenting the lesson study process and experiences. Employing technological frames as the theoretical lens, a description-analysis-interpretation approach was employed to analyse and interpret reflections and grounded experiential perceptions that the respondents disclosed during their lesson study journey.FindingsNotwithstanding their initial discerned sense of loss and unpreparedness of being constrained to migrate lesson study to exclusive online means, teachers eventually recognised that digitally mediated collaborative practices enhanced self-reflection about the lesson study process. Therefore, the extraordinary situation that the teachers in this study experienced not only disrupted their modus operandi but also allowed them to discern new opportunities for learning about digital technology use in lesson study.Practical implicationsDisruption, brought about by unforeseen circumstances, takes teachers and professional development facilitators out of their comfort zones, invariably helping them grow out of their limitations and rethink lesson study practices.Originality/valueIntentionally driven disruptions prompt teachers to resolve their dissatisfactory situations by thinking out of the box, eventually helping them to improve their professional practices.
Learning and teaching of Islamic economics: conventional approach or Tawhidi methodology
Authors: Azid Toseef , Kayani Zafar , Rawashdeh Osamah Hussien , Shirazi Nasim Shah 
Published: February 2021

Purpose
This paper aims to discuss the methodology of mainstream Islamic economics and also gives an alternative approach which is yet not very much taught in the different academic institutions, i.e. Tawhidi methodology. From the curriculum of the different academic institutions and also from the literature, it is observed that mainstream Islamic economics is the imitation of the conventional economics and mainly neoclassical economics. Maqasid-i-Shari’ah is not matching with the Tawhidi one.

Design/methodology/approach
It is based on the self-observations of the authors where they taught during their academic career.

Findings
This study found that the mainstream Islamic economics could not be able to solve the local and global issues because it is the replica of the conventional economics only there are some injunctions of Shari’ah.

Research limitations/implications
This study gives the guideline to the student of Islamic economics that how they will be able to understand the methodology of Islamic economics and finance.

Practical implications
It provides the guidance to the academicians and policymakers, especially those belonging to the Muslim countries.

Social implications
It also provides the glimpses to the social scientist about the solutions of the social and economic issues at the local and global levels.

Originality/value
It is an original effort.
Soft computing based audio signal analysis for accident prediction
Authors: Valiveti Hima Bindu , B. Anil Kumar , Duggineni Lakshmi Chaitanya , Namburu Swetha , Kuraparthi Swaraja 
Published: February 2021

Purpose
Road accidents, an inadvertent mishap can be detected automatically and alerts sent instantly with the collaboration of image processing techniques and on-road video surveillance systems. However, to rely exclusively on visual information especially under adverse conditions like night times, dark areas and unfavourable weather conditions such as snowfall, rain, and fog which result in faint visibility lead to incertitude. The main goal of the proposed work is certainty of accident occurrence.

Design/methodology/approach
The authors of this work propose a method for detecting road accidents by analyzing audio signals to identify hazardous situations such as tire skidding and car crashes. The motive of this project is to build a simple and complete audio event detection system using signal feature extraction methods to improve its detection accuracy. The experimental analysis is carried out on a publicly available real time data-set consisting of audio samples like car crashes and tire skidding. The Temporal features of the recorded audio signal like Energy Volume Zero Crossing Rate 28ZCR2529 and the Spectral features like Spectral Centroid Spectral Spread Spectral Roll of factor Spectral Flux the Psychoacoustic features Energy Sub Bands ratio and Gammatonegram are computed. The extracted features are pre-processed and trained and tested using Support Vector Machine (SVM) and K-nearest neighborhood (KNN) classification algorithms for exact prediction of the accident occurrence for various SNR ranges. The combination of Gammatonegram with Temporal and Spectral features of the validates to be superior compared to the existing detection techniques.

Findings
Temporal, Spectral, Psychoacoustic features, gammetonegram of the recorded audio signal are extracted. A High level vector is generated based on centroid and the extracted features are classified with the help of machine learning algorithms like SVM, KNN and DT. The audio samples collected have varied SNR ranges and the accuracy of the classification algorithms is thoroughly tested.

Practical implications
Denoising of the audio samples for perfect feature extraction was a tedious chore.

Originality/value
The existing literature cites extraction of Temporal and Spectral features and then the application of classification algorithms. For perfect classification, the authors have chosen to construct a high level vector from all the four extracted Temporal, Spectral, Psycho acoustic and Gammetonegram features. The classification algorithms are employed on samples collected at varied SNR ranges.
Impact of coronavirus and online exam anxiety on self-efficacy: the moderating role of coping strategy
Authors: Arora Simple , Chaudhary Priya , Singh Reetesh Kr 
Published: February 2021

PurposeThe novel coronavirus pandemic is projected to cause an elevation in anxiety levels across the globe. With everything shifting to online mode, the teaching-learning has also gone virtual. This study aims to analyze the impact of novel coronavirus and online education on student’s anxiety and self-efficacy, investigate the role of coping strategies as a moderator between anxiety and self-efficacy. Also, develop and validate an online exam anxiety scale.Design/methodology/approachThe data is collected by undertaking a cross-sectional survey of 434 higher education students from various universities. For conceptualization of the construct of online exam anxiety, the principal component analysis is carried out. Thereafter, the conceptual model is validated and tested using confirmatory factor analysis and hierarchical regression analysis.FindingsThe hypothesized model demonstrated good reliability and validity. The results showed that students’ anxiety has an adverse impact on their self-efficacy. Findings indicate that the sample in this study reported more anxiety owing to online examinations in comparison to coronavirus induced anxiety. Also, it was found that the relationship between anxiety and self-efficacy was stronger at low levels of coping strategy whereas it got considerably weakened at high levels of coping strategy.Research limitations/implicationsThe study is limited to students who belong at other levels of education. Further studies can attempt to capture the impact of COVID on student anxiety. This study was restricted to students in the age group of 18–25. The impact of COVID can be studied in a different age group in the future.Practical implicationsThis study offers important implications for educators, practitioners and policymakers working in the education sector. It presents an interesting insight into how the sudden change in pedagogical delivery to online mode is preventing a smooth transition for students and becoming a cause of anxiety. It recommends higher education institutions to develop an innovative and robust approach to promote and address mental health issues among students. It also stresses the need for ensuring that the process of conducting online examinations are streamlined and adequate guidance is given to students.Social implicationsThe study proposes the need for training students and teachers on the application of an blended learning approach and efficient adoption of information and communication technology resources in teaching-learning.Originality/valueThe current study contributes to the existing body of knowledge by stressing that adaptive-behavioral and emotion-focused coping strategies are significantly helpful in tackling coronavirus related anxiety. It also recommends the need for Higher education institutions to play an active role in strengthening their preparedness strategies for effective management of outbreaks and pandemics.
A new approach to stimulate rural entrepreneurship through village-owned enterprises in Indonesia
Authors: Kania Ikeu , Anggadwita Grisna , Alamanda Dini Turipanam 
Published: February 2021

Purpose
Village-owned enterprises, in this study called Badan Usaha Milik Desa (BUMDes), are rural communities economic empowerment program developed by the Indonesian Government to encourage the growth of rural entrepreneurship by using the potential of locally owned resources. However, the implementation and effect of the BUMDes program are questionable. Thus, this study aims to investigate the role of BUMDes in encouraging rural entrepreneurship and strengthening rural economic development. In addition, this study also explores challenges in implementing the BUMDes program.

Design/methodology/approach
This study uses a qualitative method with a case study approach. Data were obtained through in-depth interviews using purposive sampling techniques to key people in management at five BUMDes in Garut Regency, West Java, Indonesia, which have successfully implemented the BUMDes program.

Findings
The findings of this study indicate that BUMDes are proven to encourage rural entrepreneurship with the dimensions of exploration and empowerment, capacity building and the support and involvement of all stakeholders. BUMDes were established in accordance with government policies based on the village discussion process as the culture of the Indonesian people by involving elements of the village government, associations and the community. However, the challenges in implementing BUMDes are still faced by managers including implementation and regulatory mismatches, lack of qualified human resources and lack of synergy between the village government and BUMDes.

Research limitations/implications
In this study, the development of a local economic empowerment program as a driver of rural entrepreneurship is carried out in the Indonesian context. In addition, based on the unique nature of case studies, making this study can only be implemented in cases that have similar characteristics. Therefore, in the context of other countries, it can be done by modifying the results obtained based on the conditions and potential of each region.

Originality/value
Although recognition of entrepreneurship is one of the main determinants of rural economic development, empirical research in this area is relatively rare. Thus, this study adds a new perspective on the BUMDes program as an effort to grow rural entrepreneurship.
Prevention through design: conceptual models for the assessment of a principal designer’s skills, knowledge and experience
Authors: Adaku Ebenezer , Ankrah Nii A. , Ndekugri Issaka E. 
Published: February 2021

PurposeThe prevention through design (PtD) initiative places a duty on designers to originate designs that are inherently safe for construction, maintenance, occupation and demolition. In the UK, legislation has been introduced creating a new statutory role called the principal designer (PD) to ensure that PtD occurs during the design process. To realize this objective, PDs under the regulations must have appropriate skills, knowledge and experience (SKE) of occupational safety and health risks as they relate to construction products. However, there is a paucity of knowledge, in the extant literature and in practice, regarding what specifically constitutes PDs’ SKE of PtD and how to measure the same.Design/methodology/approachThe study undertook a systematic review of meanings of SKE and carried out content analyses to provide robust conceptualizations of the constructs SKE. This underpinned the development of nomological networks to operationalize the constructs SKE in respect of PDs’ ability to ensure PtD.FindingsPDs’ SKE of PtD are presented as multidimensional constructs that can be operationalized at different levels of specificity in three theoretical models.Practical implicationsThe models indicated in this study can assist project clients to clarify the PtD SKE of prospective PDs in the procurement process. Correspondingly, PDs can look to these frameworks to identify their SKE gaps and take steps to address them.Originality/valueThis study contributes to the PtD literature by providing theoretical frameworks to clarify the PtD SKE of PDs. The study provides a basis for future research to empirically test the attributes of these as they relate to PDs’ competence to ensure PtD.
A framework for understanding artificial intelligence research: insights from practice
Authors: Bawack Ransome Epie , Fosso Wamba Samuel , Carillo Kevin Daniel André 
Published: February 2021

PurposeThe current evolution of artificial intelligence (AI) practices and applications is creating a disconnection between modern-day information system (IS) research and practices. The purpose of this study is to propose a classification framework that connects the IS discipline to contemporary AI practices.Design/methodology/approachWe conducted a review of practitioner literature to derive our framework's key dimensions. We reviewed 103 documents on AI published by 25 leading technology companies ranked in the 2019 list of Fortune 500 companies. After that, we reviewed and classified 110 information system (IS) publications on AI using our proposed framework to demonstrate its ability to classify IS research on AI and reveal relevant research gaps.FindingsPractitioners have adopted different definitional perspectives of AI (field of study, concept, ability, system), explaining the differences in the development, implementation and expectations from AI experienced today. All these perspectives suggest that perception, comprehension, action and learning are the four capabilities AI artifacts must possess. However, leading IS journals have mostly published research adopting the “AI as an ability” perspective of AI with limited theoretical and empirical studies on AI adoption, use and impact.Research limitations/implicationsFirst, the framework is based on the perceptions of AI by a limited number of companies, although it includes all the companies leading current AI practices. Secondly, the IS literature reviewed is limited to a handful of journals. Thus, the conclusions may not be generalizable. However, they remain true for the articles reviewed, and they all come from well-respected IS journals.Originality/valueThis is the first study to consider the practitioner's AI perspective in designing a conceptual framework for AI research classification. The proposed framework and research agenda are used to show how IS could become a reference discipline in contemporary AI research.
The high performance organization: proposed definition and measurement of its performance
Authors: Waal André de 
Published: February 2021

PurposeThe purpose of this paper is to arrive at a general definition of an HPO and a (practical) way to measure an HPO. Managers are looking for techniques to strengthen their organizations in a way that they cannot only cope with threats but could also quickly take advantage of opportunities, and thus, grow and thrive. The academic and especially the practitioner fields reacted on this “thirst for high performance knowledge” with a plethora of books and articles on the topic of high performance organizations (HPOs). These publications each came with their own description and measurement of HPOs, which created a lot of confusion among practitioners.Design/methodology/approachIn this study the following reserach question is answered: how can an HPO be defined and its performance measured? So that with the answer, this paper can take away the aforementioned confusion. This paper does this by conducting an extensive systematic review of the literature on HPO, after which this paper synthesizes the findings into a proposal on how to define and measure the HPO.FindingsThis paper was able to obtain from the literature a list of definitions and measurements for an HPO. The common denominator in these definitions and measurements turned out to be respondents given their opinion on the effects of the organizational practices they apply on organizational performance vis-à-vis that of competitors. This paper concluded therefore that an HPO should be defined and measured relative to competitors and should be based on the perception of managers and employees of the organization: An HPO is an organization that achieves results that are better than those of its peer group over a longer period of time.Research limitations/implicationsWith the answer on the research question, this paper fills the current gap in the definition and measurement literature on HPOs, and thus, has moved the research into HPOs forward, as researchers can use these research results in their future studies on high performance and HPOs.Originality/valueAlthough there is a plethora of literature on high performance and HPOs no univocal definition and measurement of the HPO can be found. This study provides for the first time an academically well-founded definition and measurement method.