bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dexterity analysis and intelligent trajectory planning of redundant dual arms for an upper body humanoid robot
Authors: Sulaiman Shifa , Sudheer A.P. 
Published: July 2021

Purpose
Most of the redundant dual-arm robots are singular free, dexterous and collision free compared to other robotic arms. This paper aims to analyse the workspace of redundant arms to study the manipulability. Furthermore, multi-layer perceptron (MLP) algorithm is used to determine the various joint parameters of both the upper body redundant arms. Trajectory planning of robotic arms is carried out with the help of inverse solutions obtained from the MLP algorithm.

Design/methodology/approach
In this paper, the kinematic equations are derived from screw theory approach and inverse kinematic solutions are determined using MLP algorithm. Levenberg–Marquardt (LM) and Bayesian regulation (BR) techniques are used as the backpropagation algorithms. The results from two backpropagation techniques are compared for determining the prediction accuracy. The inverse solutions obtained from the MLP algorithm are then used to optimize the cubic spline trajectories planned for avoiding collision between arms with the help of convex optimization technique. The dexterity of the redundant arms is analysed with the help of Cartesian workspace of arms.

Findings
Dexterity of redundant arms is analysed by studying the voids and singular spaces present inside the workspace of arms. MLP algorithms determine unique solutions with less computational effort using BR backpropagation. The inverse solutions obtained from MLP algorithm effectively optimize the cubic spline trajectory for the redundant dual arms using convex optimization technique.

Originality/value
Most of the MLP algorithms used for determining the inverse solutions are used with LM backpropagation technique. In this paper, BR technique is used as the backpropagation technique. BR technique converges fast with less computational time than LM method. The inverse solutions of arm joints for traversing optimized cubic spline trajectory using convex optimization technique are computed from the MLP algorithm.
The congruence of mental models in entrepreneurial teams – implications for performance and satisfaction in teams operating in an emerging economy
Authors: Ziemiański Paweł , Stankiewicz Katarzyna , Tomczak Michał T. , Krawczyk-Bryłka Beata 
Published: July 2021

Purpose
The paper aims to explore the relationship between the congruence of mental models held by the members of entrepreneurial teams operating in an emerging economy (Poland) and entrepreneurial outcomes (performance and satisfaction).

Design/methodology/approach
The data obtained from 18 nascent and 20 established entrepreneurial teams was analysed to answer hypotheses. The research was quantitative and was conducted using an online questionnaire. Data was collected from each of the teams at two stages. Members of entrepreneurial teams were surveyed independently, which allowed measuring the congruence of their mental models pertaining to running a venture.

Findings
Findings reveal that team members’ mental model congruence is significantly related to financial performance and members’ satisfaction in the case of established entrepreneurial teams. However, in the case of nascent teams, there is no relationship between analysed variables.

Practical implications
Implications for theory and practice are offered with a special emphasis on entrepreneurship education. The concept of team mental model congruence is proposed to be included in training of nascent entrepreneurial teams, experienced companies and students.

Originality/value
The concept of team mental models investigated by the authors has been underexplored in entrepreneurship research. Results indicate that at least in some entrepreneurial teams, team mental models’ congruence is related to obtained outcomes. The paper proposes that principles of effectuation and causation can serve as the lens through which the mental model pertaining to running a venture can be analysed. It allows expanding studies on the congruence of team mental models in entrepreneurial teams beyond the strategic consensus.
The Covid-19 impact on financial crime and regulatory compliance in Malaysia
Authors: Jamil Ainul Huda , Mohd Sanusi Zuraidah , Yaacob Najihah Marha , Mat Isa Yusarina , Tarjo Tarjo 
Published: July 2021

Purpose
The purpose of this paper is to provide a conceptual discussion and analysis of the Covid-19 impact on financial crime and regulatory compliance. The analysis is conducted to make a comparison of the financial crime and regulatory compliance patterns before and after the Covid-19 pandemic occurred.

Design/methodology/approach
This paper contextualises the impact of Covid-19 on financial crime and regulatory compliance. Moreover, this paper explores different ways of conceptualising the Covid-19 impacts in terms of financial crimes and regulatory compliance patterns based on the surveys by PricewaterhouseCoopers and Deloitte.

Findings
The Covid-19 pandemic has brought both challenges and opportunities to financial crime and regulatory compliance. In the aspects of financial crime patterns, this study found a reduction in physical crime whilst on the other hand increment in cybercrime. Nevertheless, this study discovered regulatory compliance not at a satisfactory stage even before the Covid-19 pandemic, let alone during the pandemic.

Practical implications
This study implies that the financial institutions must work together to combat the risks of financial crimes, not only amongst the institutions but also with the regulators. Digitalisation and robust risk management need to be improved at a massive level to beat the criminals’ high fintech skills and systems. The initiatives of fund packages from the governments to assist the companies especially the small firms need to be fully used by the companies to improve regulatory compliance.

Originality/value
Whilst some studies discussed the impact of Covid-19 on the economy, there are still scarce resources on the comparative analysis on the financial crime and regulatory compliance, not to mention the before and after effect of the Covid-19 pandemic. This is the first paper to integrate the issues surrounding the Covid-19 impact, financial crimes and regulatory compliance in Malaysia.
Preliminary insights on green criminology in Malaysia
Authors: Bilu Redvin , Darus Faizah , Yusoff Haslinda , Mohamed Intan Salwani 
Published: July 2021

Purpose
The purpose of this paper is to examine the extent of environmental offences committed in Malaysia charged under the Environmental Quality Act 1974 (EQA1974).

Design/methodology/approach
This study used secondary data of the environmental court cases report by the Department of Environment (DOE) Malaysia from 2008 until 2016 to examine the nature of environmental offences based on the Treadmill of Production (ToP) approach.

Findings
In comparison with the GDP growth (Department of Statistic Malaysia, 2016), the findings support ToP argument that as far as the treadmill accelerates, the more would be the environmental crime committed. However, all offences charged were weighted more on the ecological additions rather than ecological withdrawn. The trend analysis showed a decreasing trend for all types of offences committed, reflecting that Malaysia's regulatory authorities are committed to fighting against environmental crime perpetrators. Therefore, all parties must be made to internalise the values of conducting business sustainably.

Originality/value
This paper is the first that examines the environmental offences committed in Malaysia using the ToP approach to analyse the nature of the crime committed in Malaysia associated with the growing literature of Green Criminology.
Corruption and international development: a review of project management challenges
Authors: Harnois Yanik , Gagnon Stéphane 
Published: July 2021

Purpose
The outcomes and quality of international development projects (IDPs) remain highly controversial, especially with perception of corruption by various stakeholders. This study aims to integrate findings from both social and administrative sciences to focus attention on the governance challenges involved in both business and public administration of such projects. It also asks to what extent Project Management (PM) methods can effectively be harmonized with broader anti-corruption initiative in both donor and receiving countries.

Design/methodology/approach
Taking a transdisciplinary viewpoint, this study proposes a review and synthesis of the literature on the theoretical, methodological, and epistemological issues in researching corruption as a construct in PM as applied to IDPs.

Findings
Some experts recognize the inefficacy of applying classical PM tools and processes. By contrasting the literature, this study concludes that an alternative approach to overcome the taboos and prejudice in studying corruption is to ask a different research question. As opposed to studying “who and why” about corruption occurrences (ex-post), given the challenge of unveiling its practices and motivations, PM researchers can to ask instead “where and how” it occurs and help understand methods to mitigate its effects on projects (ex-ante).

Originality/value
A research agenda is proposed for the several disciplines and fields concerned with solving this phenomenon. To guide PM research on development projects, focusing on the “where and how” of corruption requires addressing how actors build their knowledge management capabilities and address the social and cultural challenges inherent to IDPs.
AI and privacy concerns: a smart meter case study
Authors: Carmody Jillian , Shringarpure Samir , Van de Venter Gerhard 
Published: July 2021

Purpose
The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence (AI) technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection.

Design/methodology/approach
The authors illustrate how, through smart meter obtained energy data, home energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies.

Findings
The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets.

Social implications
The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions.

Originality/value
The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers.
Strategy in the time of pandemics, climate change and the Kurzweil Singularity
Authors: Camillus John , Ramanadhan Shoba , Ganapathy Krishnan 
Published: July 2021

PurposeThe business environment is increasingly fraught with societal disruptions—caused by factors such as pandemics, climate change and the probability of sentient machines—that are fundamentally different than the industry disruptions that firms have experienced and determined how to overcome. Societal disruptions create chaotic ambiguity and unknowable futures. This paper offers an approach to strategic management in the context of societal disruptions, employing purpose-driven “smart power” to harmonize the organization and the environment and promote both economic and social sustainability.Design/methodology/approachThe paper integrates the construct of smart power that blends hard and soft power, the concepts of purpose and identity that define what is core, aspirational, enduring and distinctive about the organization and the techniques of taming wicked problems in order to design processes and structures that can function in the context of social disruptions.FindingsThe paper offers a strategic management approach that employs purpose-driven smart power to overcome the challenge and thrive in the context of chaotic ambiguity.Practical implicationsThe approach offers practical guidelines for designing processes and structures that can guide strategic decision making in organizations challenged by societal disruptions.Originality/valueThe distinctive and daunting challenge posed by societal disruptions is delineated, and constructs and frameworks from multiple disciplines are uniquely integrated to potentially tame the chaotic ambiguity and unknowable futures created by these disruptions.
EFQM enablers and business performance relationship: Examining mediating role of organizational learning culture in Pakistani textile sector
Authors: Ashraf Hafiz Ahmad , Ishaq Muhammad Ishtiaq , Muhammad Khan Mumtaz 
Published: July 2021

Purpose
This paper aims to determine the influence of the European Foundation for Quality Management (EFQM) excellence enablers on the financial, market and non-financial performance of the textile companies in Pakistan. Moreover, the mediating role of organizational learning culture is also tested in EFQM enablers and performance relationships.

Design/methodology/approach
Using a multi-respondent strategy, the data was collected from 254 textile firms registered with All Pakistan Textile Mills Association (APTMA) using a highly structured questionnaire. The data were analyzed using structural equation modeling via AMOS v.22.

Findings
The results reveal that EFQM excellence enablers significantly influence financial, non-financial and market performance. Furthermore, organizational learning culture (OLC) significantly positively mediates the relationship between EFQM excellence enablers and business performance.

Research limitations/implications
This study enhances the literature of EFQM enablers and microfoundations of institutional theory in the textile industry of developing countries and proposes a way forward to the effective utilization of such enablers for higher performance.

Originality/value
This research is the first of its kind that empirically tests the microfoundations of institutional theory concerning EFQM, OLC and performance in the textile industry of Pakistan.
Assessing the impact of the COVID-19 pandemic on hospitality and tourism education in India and preparing for the new normal
Authors: Joshi Vishesh Anna , Gupta Ila 
Published: July 2021

PurposeThe COVID-19 pandemic has had serious and far-reaching consequences on every aspect of human life. As various countries went into lockdown, hospitality and tourism was badly affected and this has had an impact on hospitality and tourism education too. This paper aims to assess the impact of the pandemic on hospitality and tourism education in India and the effectiveness of mitigation strategies in support of the industry. The study also proposes recommendations for resilience-building.Design/methodology/approachA pilot survey using semi-structured interviews was conducted and followed by a detailed questionnaire-based survey of industry representatives and educators. Selected industry leaders were also interviewed to understand the industry perspective on the pandemic, the “new normal” and the expectations of post pandemic graduates. The study focuses on four main areas – (1) existing interrelationships between industry and academia, (2) the efficiency of Internet-based education during the pandemic, (3) the “new normal” and the expectations of graduates and (4) recommendations for resilience-building.FindingsThere is a perceived gap between academia and industry that needs to be bridged. We found that the pandemic is seriously affecting education with challenges ranging from technological issues, disparities and reduced enrolments to student behavioural issues. Most impacted was the practical training component in operational areas and especially in food production and services. It is now clear that education needs a shift in focus from the more traditional, operational aspects of hospitality and tourism to technological awareness, knowledge and soft skills development. The research also identified a need for better two-way communication and information exchange between industry and academia. In fact, the lessons learnt from the pandemic need to be communicated from industry to academia. This is important given that industry expects graduates to be adaptive, compassionate, able to multi-task, familiar with the principles of crisis management and proficient with technology.Originality/valueThe study analyses possible long-term effects and implications for the workforce of the future as the industry struggles to respond to the pandemic. The study also suggests possible avenues and methods for industry and academia to form more symbiotic relationships and become more resilient.
A novel approach of privacy-preserving data sharing system through data-tagging with role-based access control
Authors: Garg Tanvi , Kagalwalla Navid , Puthran Shubha , Churi Prathamesh , Pawar Ambika 
Published: July 2021

Purpose
This paper aims to design a secure and seamless system that ensures quick sharing of health-care data to improve the privacy of sensitive health-care data, the efficiency of health-care infrastructure, effective treatment given to patients and encourage the development of new health-care technologies by researchers. These objectives are achieved through the proposed system, a “privacy-aware data tagging system using role-based access control for health-care data.”

Design/methodology/approach
Health-care data must be stored and shared in such a manner that the privacy of the patient is maintained. The method proposed, uses data tags to classify health-care data into various color codes which signify the sensitivity of data. It makes use of the ARX tool to anonymize raw health-care data and uses role-based access control as a means of ensuring only authenticated persons can access the data.

Findings
The system integrates the tagging and anonymizing of health-care data coupled with robust access control policies into one architecture. The paper discusses the proposed architecture, describes the algorithm used to tag health-care data, analyzes the metrics of the anonymized data against various attacks and devises a mathematical model for role-based access control.

Originality/value
The paper integrates three disparate topics – data tagging, anonymization and role-based access policies into one seamless architecture. Codifying health-care data into different tags based on International Classification of Diseases 10th Revision (ICD-10) codes and applying varying levels of anonymization for each data tag along with role-based access policies is unique to the system and also ensures the usability of data for research.
Filaggrin‐gene mutation has minimal effect on the disease severity in the lesions of atopic dermatitis
Authors: Ota Masataka , Sasaki Takashi , Ebihara Tamotsu , Yokosawa Emiko , Murakami Yumi , Matsunaka Hiroshi , Chinuki Yuko , Amagai Masayuki , Morita Eishin 
Published: July 2021

AbstractLoss‐of‐function mutations of filaggrin (FLG) gene (FLG) are the strongest known genetic risk factor for atopic dermatitis (AD). It is still debatable how FLG gene mutations and the resulting abnormal amount of FLG protein contribute to skin barrier function and symptoms of AD. In this study, we examined the effects of loss‐of‐function mutations of FLG gene on the severity of skin lesions and skin barrier function in 55 patients with AD by evaluating eight patients with AD with FLG gene mutations and 47 patients with AD without mutations. The results showed that the FLG gene mutation did not affect the duration of AD, severity of AD, degree of local inflammatory symptoms, skin water content and trans‐epidermal water loss of the lesions. Next, in these eight mutation carriers and the 47 non‐carriers, stratum corneum was collected from the three site of skin lesions using tape‐stripping method, and the amounts of FLG protein and total amino acid contained in the stratum corneum was measured to investigate the effect of the FLG gene mutation on the amount of FLG gene product in the local lesion. FLG abnormalities had little effect on FLG protein and total amino acid content in the stratum corneum in the lesional skin. The amount of the FLG products, especially amino acids derived from FLG, in the stratum corneum of AD lesional skin is influenced by development of dermatitis. The results obtained from this study supports that the activation of Th2‐dominant inflammatory cells, together with FLG abnormality, plays a role in suppressing the production of FLG in skin lesions.
Animal personality drives individual dietary specialisation across multiple dimensions in a mammalian herbivore
Authors: Herath Anushika P. H. M. , Wat Katie K. Y. , Banks Peter B. , McArthur Clare 
Published: July 2021

Abstract

Animal personality influences how individuals perceive and react to different stimuli, such as food quality and predation risk, thereby shaping foraging behaviour. As a consequence, animal personality is predicted to influence the diet and dietary specialisation of individuals within a population, but animal personality and dietary specialisation have yet to be linked.

Here, we tested whether individual diet and dietary specialisation are a function of animal personality, using an arboreal herbivore, the common brushtail possum, as a model species. We hypothesised that proactive individuals have more diverse foraging opportunities than reactive individuals. We therefore predicted that proactive animals (more exploratory, bold and more active) would be less specialised, with a broader and higher quality diet than their reactive counterparts. We quantified the personality traits and dietary niche using proportional similarity index and specialisation categories of possums (n = 30) in a population flanking native eucalypt woodland and residential gardens in suburban Sydney, Australia.

We found that personality traits were related to the breadth and quality of the realised diets of individual possums. As predicted, proactive individuals had a broad, high‐quality diet with less individual dietary specialisation than reactive individuals. Highly exploratory individuals had a more diverse diet than less exploratory individuals, and bold individuals were more likely than shy individuals to consume plants on the ground.

Our study demonstrates an important link between animal personality and individual dietary specialisation. The finding that the personality of individuals is associated with different diet choices within the same landscape is fundamentally significant. First, personality as a driver of niche partitioning likely reduces within‐species competition and hence could contribute to adaptive capacity. Second, the strength of ecological processes arising from interactions (e.g. predator–prey and plant–herbivore interactions) could differ among individuals according to their personality traits.

Our findings are also relevant for effectively managing both threatened native and invasive species. Management strategies will be improved by incorporating knowledge of individual traits and their ecological consequences, plus the ecological context of food‐ and fear‐scapes.

A free Plain Language Summary can be found within the Supporting Information of this article.