bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ranking the ontology development methodologies using the weighted decision matrix
Authors: Sinha Prashant Kumar , Dutta Biswanath , Varadarajan Udaya 
Published: March 2022

PurposeThe current work provides a framework for the ranking of ontology development methodologies (ODMs).Design/methodology/approachThe framework is a step-by-step approach reinforced by an array of ranking features and a quantitative tool, weighted decision matrix. An extensive literature investigation revealed a set of aspects that regulate ODMs. The aspects and existing state-of-the-art estimates facilitated in extracting the features. To determine weight to each of the features, an online survey was implemented to secure evidence from the Semantic Web community. To demonstrate the framework, the authors perform a pilot study, where a collection of domain ODMs, reported in 2000–2019, is used.FindingsState-of-the-art research revealed that ODMs have been accumulated, surveyed and assessed to prescribe the best probable ODM for ontology development. But none of the prevailing studies provide a ranking mechanism for ODMs. The recommended framework overcomes this limitation and gives a systematic and uniform way of ranking the ODMs. The pilot study yielded NeOn as the top-ranked ODM in the recent two decades.Originality/valueThere is no work in the literature that has investigated ranking the ODMs. Hence, this is a first of its kind work in the area of ODM research. The framework supports identifying the topmost ODMs from the literature possessing a substantial amount of features for ontology development. It also enables the selection of the best possible ODM for the ontology development.
Impacts of transformational leadership on organizational change capability: a two-path mediating role of trust in leadership
Authors: Cao Thanh Thi , Le Phong Ba 
Published: March 2022

PurposeGiven the important role of change capability for organizational development and competitive advantage, the purpose of this study is to clarify the influences of transformational leadership (TL) on organizational change capability (OCC) via mediating roles of two specific aspects of trust in leadership namely disclosure-based trust and reliance-based trust.Design/methodology/approachStructural equation modeling is applied to test the degree of influences of TL and employee trust on OCC via empirical data collected from 376 participants in 115 small and medium firms in China.FindingsThe results show the positive and significant impacts of TL and aspects of employee trust in leadership on OCC. It indicated that disclosure-based trust in leadership has a greater influence on change capability in comparison with the effect of reliance-based trust in leadership. Especially, the findings have shown the evidence supporting the mediating mechanism of aspects of employee trust in leadership between TL and OCC.Research limitations/implicationsThis study provides the practical initiatives that highlight the importance of applying TL style to build and improve the trust of employees in their leadership for fostering OCC.Originality/valueThe paper has significantly advanced and deepened insight of how transformational leaders nurture employee’s specific shades of trust in leadership for fostering OCC. The valuable findings of this study contribute to enriching the theoretical basis of organizational behavior and change management, and can be used to analyze and explain the relationships between TL, employee’s trust in leadership and organizational capability for change.
Farmer’s environmental orientation as an antecedent to the intention for adopting conservational agriculture practices: the moderation analysis
Authors: Gillani Syed Hussain Mustafa , Kiani Malkah Noor , Abid Saifullah 
Published: March 2022

Purpose
Pakistan has long been regarded as one of the most vulnerable countries to climate change. The Food and Agriculture Organisation of the United Nations promotes conservational agricultural practices (CAP); however, they received little attention. Therefore, this study aims to explore the antecedents of farmers’ intention to adopt CAP with empirical evidence to enhance CAP in developing countries.

Design/methodology/approach
Using a random sampling strategy, the data has been gathered from 483 Pakistani’s farmers of the most agriculture-producing province, Punjab and Sindh via a questionnaire survey. Regression-analysis (Haye’s process approach) is implied for testing the hypothesis.

Findings
The findings indicated that a farmer’s environmental orientation positively affects the farmer’s intention to adopt CAP. Furthermore, the farmer’s attitude towards agricultural production and the farmer’s belief in climate change also positively moderate the relationship.

Practical implications
Based on findings, this research suggests a need for efforts by the government to encourage farmers to engage themselves in technical support for the adoption of CAP. The educational campaigns and training sessions need to be arranged by the government for this purpose. This may help the farmers to adopt strategies relating to climate change concerning their education, credit access and extension services.

Originality/value
This paper explores the antecedents of farmers' intention for CAP in Pakistan. The empirical evidence previously missing in the body of knowledge will support the governments, researchers and FAO to establish a mechanism for enhancing CAP in developing countries like Pakistan. Further research is recommended to explore the outcomes of farmers' intentions to adopt more CAP to gauge the effectiveness of adaptation strategies
Impact of labour unrest and skilled workforce in host country on inflow of foreign direct investment – a case of Taiwan, ROC
Authors: Lai Yu-Cheng , Sarkar Santanu 
Published: March 2022

PurposeIn this paper, the authors examined the changes in labour unrest and labour quality brought by high labour standards over a considerable period in Taiwan. Then, the authors studied the role of these changes in predicting the inflow of foreign direct investment (IFDI) in the country. To test the role, the authors measured the differences in effects of the two changes on wages, working hours and employment opportunities of skilled female and skilled male workers in FDI-intensive and non-intensive industries.Design/methodology/approachUsing a model built on pooled cross-sectional time-series data from 1999 to 2012, the authors measured the effect of changes in labour unrest and the presence of skilled workers on the net inflow of FDI. Using data from the Manpower Utilisation Survey (MUS), the authors applied differences–in–Differences-in--ddifferences- (DDD) and differences–in–Differences-in-ddifferences-in--differences- (DDDD) estimation methods to test the effect of changes in labour unrest and labour quality on three labour market outcomes, namely wages, working hours and job opportunities of skilled workforce.FindingsIncreasing labour unrest affected the employment opportunities of almost every unemployed person seeking skilled jobs in Taiwan. When the authors compared the adverse effect of high labour standards on employment opportunities and working hours, the authors found women looking for skilled jobs in foreign-owned firms to be the worst affected. Besides, foreign firms paid different wages to skilled educated men than what foreign firms' domestic counterparts paid to skilled educated men employed in Taiwanese firms.Practical implicationsAn in-depth analysis of changes in labour unrest and presence of skilled workers because of high labour standards and the extent to which such changes helped the nation to attract FDI should be useful to policymakers interested in understanding the impact of legislative measures and policy reforms on labour market outcomes across industry types, which matter to foreign investors. If changes in labour unrest and labour quality influenced the inflow of FDI more to firms in one set of industries than the others, the same should have a bearing on revamping of future enactment and enforcement in Taiwan.Originality/valueCurrent study findings would not only provide broad lessons to policymakers in Taiwan but findings of the authors' country case study should be able to guide growing economies that are equally careful whilst raising the labour standards as most fear that high labour standards can deter inflow of FDI because of increasing labour cost.
The impact of artificial intelligence technology stimuli on smart customer experience and the moderating effect of technology readiness
Authors: Gao Jingyan , Ren Lina , Yang Yang , Zhang Duo , Li Lan 
Published: March 2022

PurposeThis research clarifies the connotations and dimensions of artificial intelligence (AI) technology stimulation and establishes a stimulus scale to explain the relationship between AI technology stimuli and smart customer experience.Design/methodology/approachThis is an empirical study that uses SPSS 24.0 software to perform hypothesis testing on the path relationships between model elements.FindingsTwo dimensions of AI technology stimuli (i.e. passion and usability) have a significant, positive impact on smart customer experience; the moderating effects of contrasting dimensions of technology readiness (i.e. optimism and discomfort) are significantly different; smart customer experience has a significant, positive impact on the word-of-mouth (WOM) intentions of consumers.Research limitations/implicationsThere are several limitations. Most importantly, the data collected in this study are only from consumers who use intelligent customer service robots in the catering industry. Future research can consider exploring relevant AI technologies in other sectors.Practical implicationsThis study has several implications that guide catering companies to develop various positioning and strategies for remaining competitive effectively.Originality/valueBased on arousal theory, customer experience theory and WOM marketing theory, this is the first novel research project that empirically discusses the dimensions of AI technology stimuli, smart customer experience and WOM intentions with regard to the moderating effect of the technology readiness of consumers toward AI technology.
A legal-realist assessment of human rights, right to health and standards of healthcare in the Malawian prison system during COVID-19 state disaster measures
Authors: Van Hout Marie Claire , Mhango Victor , Kaima Ruth , Bigland Charlotte , Mariniello Triestino 
Published: March 2022

PurposeThe first case of COVID-19 in the Malawi prison system was reported in July 2020. Human rights organisations raised concerns about the possibility of significant COVID-19 outbreaks and deaths in the prison system, because of the poor infrastructure, lack of healthcare and adequate COVID-19 mitigation measures, existing co-morbidities (tuberculosis, HIV and hepatitis C), malnutrition and poor health of many prisoners.Design/methodology/approachThe authors conducted a legal-realist assessment of the Malawian prison system response to COVID-19 during state disaster measures, with a specific focus on the right to health and standards of healthcare as mandated in international, African and domestic law.FindingsThe Malawi prison system was relatively successful in preventing serious COVID-19 outbreaks in its prisons, despite the lack of resources and thead hocreactive approach adopted. Whilst the Malawi national COVID plan was aligned to international and regional protocols, the combination of infrastructural deficits (clinical staff and medical provisions) and poor conditions of detention (congestion, lack of ventilation, hygiene and sanitation) were conducive to poor health and the spread of communicable disease. The state of disaster declared by the Malawi Government and visitation restrictions at prisons worsened prison conditions for those working and living there.Originality/valueIn sub-Saharan Africa, there is limited capacity of prisons to adequately respond to COVID-19. This is the first legal-realist assessment of the Malawian prison system approach to tackling COVID-19, and it contributes to a growing evidence of human rights-based investigations into COVID-19 responses in African prisons (Ethiopia, South Africa and Zimbabwe).
The impact of workplace safety and customer misbehavior on supermarket workers' stress and psychological distress during the COVID-19 pandemic
Authors: Mayer Brian , Helm Sabrina , Barnett Melissa , Arora Mona 
Published: March 2022

PurposeEssential frontline workers in the retail sector face increased exposure risks to coronavirus disease 2019 (COVID-19) due to frequent interactions with the general public. Often these interactions are fraught with controversies over public safety protocols. The purpose of this study is to examine the impacts of frontline workers' perceptions of workplace safety and customer misbehaviors on their stress and psychological distress to inform managing workplace health and safety during public health crises.Design/methodology/approachThe authors conducted an online survey of 3,344 supermarket workers in the state of Arizona (US) during the state's first COVID-19 pandemic wave in July 2020. Measures included mental health distress, and perceptions of workplace safety and customer behaviors. The authors utilized a mixed-methods approach combining multiple regression analyses with qualitative analyses of open-ended comments.FindingsWorkers reported high rates of stress and psychological distress. Increases in mental health morbidity were correlated with perceptions of being unsafe in the workplace and concerns about negative customer encounters. Qualitative analyses reveal frustration with management's efforts to reduce risks intertwined with feelings of being unsafe and vulnerable to threatening customer encounters.Practical implicationsThe findings highlight the need to provide and enforce clear safety guidelines, including how to manage potential hostile customer interactions, to promote positive health workplace management during a pandemic.Originality/valueThis study is among the first to assess the COVID-19 pandemic's impact on the mental health of non-health care frontline essential workers and presents novel insights regarding perceived customer misbehavior and need for management support and guidance in a public health crisis.
A review of consumer affinity research: recent advances and future directions
Authors: Serrano-Arcos M. Mar , Sánchez-Fernández Raquel , Pérez-Mesa Juan Carlos , Riefler Petra 
Published: March 2022

PurposeConsumer affinity may be a key factor in overcoming ethnocentric barriers and promoting a favourable attitude towards specific foreign countries and their products. However, progress in knowledge of this concept in international marketing literature has suffered from a lack of integration and analysis. The purpose of this study was to shed new light on the concept of consumer affinity based on a comprehensive systematic review of the literature, provide a critical analysis of previous research in terms of conceptual, methodological and substantive issues and problems and offer avenues for future research.Design/methodology/approachThis structured systematic review of consumer affinity included articles published in international peer-reviewed journals from 2008 to 2021, examining key conceptual, operational and substantive aspects.FindingsThis systematic review of articles on consumer affinity published over the past 14 years revealed that this line of research is a growing vibrant domain in the context of international marketing. It also showed that current knowledge of consumer affinity is characterized by theoretical inconsistencies, contradictory empirical results and scant international marketing research in the affinity domain.Originality/valueThis article provides an overview of the extant literature on consumer affinity and yields a consolidated image of its current status, as well as a research agenda that raises new questions for the academic community.
Exploring privacy paradox in contact tracing apps adoption
Authors: Duan Sophia Xiaoxia , Deng Hepu 
Published: March 2022

PurposeUnderstanding the privacy concerns of individuals in the adoption of contact tracing apps is critical for the successful control of pandemics like COVID-19. This paper explores the privacy paradox in the adoption of contact tracing apps in Australia.Design/methodology/approachA comprehensive review of the related literature has been conducted, leading to the development of a conceptual model based on the privacy calculus theory and the antecedent-privacy concern-outcome framework. Such a model is then tested and validated using structural equation modelling on the survey data collected in Australia.FindingsThe study shows that perceived benefit, perceived privacy risk and trust have significant influences on the adoption of contact tracing apps. It reveals that personal innovativeness and trust have significant and negative influences on perceived privacy risk. The study further finds out that personal innovativeness is insignificant to perceived benefit. It states that perceived ease of use has an insignificant influence on perceived privacy risk in the adoption of contact tracing apps.Originality/valueThis study is the first attempt to use the privacy calculus theory and the antecedent–privacy concern–outcome framework for exploring the privacy paradox in adopting contact tracing apps. This leads to a better understanding of the privacy concerns of individuals in the adoption of contact tracing apps. Such an understanding can help formulate targeted strategies and policies for promoting the adoption of contact tracing apps and inform future epidemic control through effective contact tracing for better emergency management.
Adaptive enhanced admittance force-tracking controller design for highly dynamic interactive tasks
Authors: Liu Chengguo , He Ye , Chen Xiaoan , Cao Hongli 
Published: March 2022

Purpose
As more and more robots are used in industry, it is necessary for robots to interact with high dynamic environments. For this reason, the purpose of this research is to form an excellent force controller by considering the transient contact force response, overshoot and steady-state force-tracking accuracy.

Design/methodology/approach
Combining the active disturbance rejection control (ADRC) and the adaptive fuzzy PD controller, an enhanced admittance force-tracking controller framework and a well-designed control scheme are proposed. Tracking differentiator balances the contradiction between inertia and jump control signal of the control object. Kalman filter and extended state observer are introduced to obtain purer feedback force signal and uncertainty compensation. Adaptive fuzzy PD controller is introduced to account for transient and steady state performance of the system.

Findings
The proposed controller has achieved successful results through simulation and actual test of 6-axis robot with minimum error.

Practical implications
The controller is simple and practical in real industrial scenarios, where force control by robots is required.

Originality/value
In this research, a new practical force control algorithm is proposed to guarantee the performance of the force controller for robots interacting with high dynamic environments.
Development of a UVC-based disinfection robot
Authors: Ma Ye , Xi Ning , Xue Yuxuan , Wang Siyu , Wang Qingyang , Gu Ye 
Published: March 2022

Purpose
The disinfection robot developed by the authors and team focuses on achieving fast and precise disinfection under a given or specific disinfection zone. This looks to solve problems with traditional robots that pay less attention to the level, efficiency and zones of disinfection. To effectively support and guarantee normal running for the whole system, a digital twin system is applied to the disinfection robot. This study aims to achieve fast, precise and thorough disinfection via the developed mobile robot.

Design/methodology/approach
The designed robot is composed primarily of the following three parts: a mobile platform, a six-axis robotic arm and a ultraviolet-C (UVC) LED array. The UVC LED array is installed on the end-effector to achieve large-scale, precise manipulation. The adoption of all types of advanced sensors and the development of an intuitive and user-friendly client interface are helpful in achieving remote control, path planning, data monitoring and custom disinfection functions.

Findings
Disinfection of three different locations in the laboratory was performed; the dosage distribution of the surface as radiated by the UVC robot was detected; and feasibility of development was validated.

Originality/value
The developed disinfection robot achieved fast, precise and thorough disinfection for a given or specific disinfection zone.
Working capital management and firm performance nexus in emerging markets: do financial constraints matter?
Authors: Jabbouri Imad , Satt Harit , El Azzouzi Oumaima , Naili Maryem 
Published: March 2022

PurposeThis study aims to examine the impact of working capital management (WCM) on firm performance. The authors pursue innovation by exploring how the level of financial constraints shapes the impact of WCM on corporate performance.Design/methodology/approachIn this study, the generalized method of moments (GMM) is used to analyze a sample of 753 firms listed on ten Middle East and North Africa (MENA) emerging markets.FindingsThe authors' empirical analysis demonstrates that financially constrained firms are coerced to adopt an aggressive WCM approach to reduce investment in working capital, minimize financing costs and improve financial performance despite the risks associated with this strategy. Contrarily, financially unconstrained firms, uphold a high level of investments in working capital to grow sales and improve financial performance. The authors' results strongly reject the “one size fits all” approach of WCM. The authors assert that the degree of financial constraints largely defines the firm's optimal WCM approach.Practical implicationsThe authors' study reveals to financial managers the importance of adopting an appropriate WCM strategy that fits firm-specific characteristics and financial flexibility. The authors' results urge policy makers to ease access to financing to all firms to enhance both their financial flexibility and ability to respond efficiently to emerging investment opportunities as well as develop resilience to economic slumps.Originality/valueTo the best knowledge of the authors, this is the first study that explores WCM and financial constraints in MENA emerging markets.