bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robot compliant catching by Maxwell model based Cartesian admittance control
Authors: Fu Le , Zhao Jie 
Published: October 2020

Purpose
Admittance control is a typical complaint control methodology. Traditionally, admittance control systems are based on a dynamical relationship described by Voigt model. By contrast, after changing connection of spring and damper, Maxwell model produces different dynamics and has shown better impact absorption performance. This paper aims to design a novel compliant control method based on Maxwell model and implement it in a robot catching scenario.

Design/methodology/approach
To achieve this goal, this paper proposed a Maxwell model based admittance control scheme. Considering several motion stages involved in one catching attempt, the following approaches are adopted. First, Kalman filter is used to process the position data stream acquired from motion capture system and predict the subsequent object flying trajectory. Then, a linear segments with parabolic blends reaching motion is generated to achieve time-optimal movement under kinematic and joint inherent constraints. After robot reached the desired catching point, the proposed Maxwell model based admittance controller performs such as a cushion to moderate the impact between robot end-effector and flying object.

Findings
This paper has experimentally demonstrated the feasibility and effectiveness of the proposed method. Compared with typical Voigt model based compliant catching, less object bounding away from end-effector happens and the success rate of catching has been improved.

Originality/value
The authors proposed a novel Maxwell model based admittance control method and demonstrated its effectiveness in a robot catching scenario. The author’s approach may inspire other related researchers and has great potential of practical usage in a widespread of robot applications.
Back and forth to the campus: Tackling invasions through service-learning activities in higher education
Authors: Servia María J. , Cao Anxo , Lueje Yaiza R. 
Published: October 2020

PurposeInvasive species are under the spotlight because of their detrimental effects on biodiversity. However, management of invasions presents multiple dimensions frequently difficult to disentangle. This complex topic has been tackled through a service-learning project on an invasive insect (Vespa velutina), a bee-eating species invading Europe. Specifically, this paper aims to assess the educational needs and motivations detected in a local population for the control ofV. velutina, and evaluate the educational achievements of students participating in the project.Design/methodology/approachThe paper illustrates how students prepared the service activity, which consisted in a quiz and interviews to public in a honey festival located in an area that has invested heavily in the control of the hornet. They informed visitors on its biology and impacts, and collected information on visitors’ knowledge and attitudes towards the hornet. This information was taken back to the class and discussed in an open debate.FindingsThe service activity uncovered important knowledge gaps of the local population and revealed the attachment to controversial control methods. Students acknowledged that the project met a real community need and valued the contact with the public, and the presentation of the project in the Faculty favored a debate on invasions management and biodiversity protection under the framework of campus sustainability.Originality/valueWhile students are familiar with actions on campus sustainability, they are seldom confronted with the evaluation of management decisions on complex topics involving multiple dimensions. This service-learning project showed a good potential for fostering in-depth debates and promoting student engagement in campus sustainable initiatives.
Examining the factors influencing smartphone apps use at tourism destinations: a UTAUT model perspective
Authors: Kamboj Shampy , Joshi Richa 
Published: October 2020

Purpose
Tourists regularly make use of their smartphones while staying at tourist destinations. Several studies have studied the outcomes of smartphone use at travel destinations. The current paper believes tourists’ use of their smartphone or its apps because of their contact with tour friends, social loneliness-related concerns or its aesthetic scope. The purpose of this paper is to identify the factors of continued use of smartphone apps via travelers during their stay at a tourism destination, framed within the UTAUT2 model (unified theory of acceptance and use of technology), given intrinsic user attributes (innovativeness), tourism destination aspect (aesthetic scope and social loneliness) and one of the key characteristics of mobile devices (portability).

Design/methodology/approach
The sample consists of 357 smartphone users who travelled to some tourist destinations and used some mobile apps during their stay. Data was analyzed using the structural equation modeling approach.

Findings
The findings of the study show that the UTAUT2 model can effectively explain the use of smartphone apps at tourism destinations and characteristics of the user and mobile device, does affect behaviour outcomes (smartphone, intention to reuse app, satisfaction towards trip and loyalty towards app).

Originality/value
This paper is mainly important due to its emphasis on smartphone apps’ use during the travel stay, as the majority of the existing literature focusses on prior steps ( service booking).
Cybersecurity: investing for competitive outcomes
Authors: Kosutic Dejan , Pigni Federico 
Published: October 2020

Purpose
The purpose of this paper is to help companies address the problem of ever-increasing cybersecurity investment that does not produce tangible business value – this is achieved by explaining the relationship between cybersecurity and competitive advantage.

Design/methodology/approach
The impact of cybersecurity on competitive advantage was explored through a qualitative research study – the authors conducted an extensive literature review and conducted two rounds of semi-structured interviews with executives and security professionals from companies in four countries, from the financial, IT and security industries.

Findings
The analysis of the findings enabled the conceptualization of the Cybersecurity Competitive Advantage Model that explains how to build up cybersecurity dynamic capabilities to achieve long-term competitive advantage.

Research limitations/implications
The research presents the theorization of the model based on an extensive literature review, gathered information, insight from qualified respondents and the authors’ experience in the field. While we controlled for saturation and rigorously collected and analyzed the data, the inductive approach followed may limit the generalizability of the findings.

Practical implications
The proposed model helps explain to executives how to differentiate their company in a novel way and how to retain that competitive advantage; security professionals can use the model to organize cybersecurity and communicate to their superiors more effectively.

Originality/value
The presented model differs from existing literature, cybersecurity frameworks and industry standards by presenting a method of avoiding technological bias and for achieving competitive advantage.
The US-China trade war with increasing trade policy uncertainty
Authors: Ongan Serdar , Gocer Ismet 
Published: October 2020

Purpose
This study aims to examine the impacts of changing US trade policy uncertainty (henceforth, TPU Index) on US bilateral trade balance with China from a nonlinear methodology perspective.

Design/methodology/approach
The nonlinear auto regressive distributed lag (ARDL) model, recently developed by Shin et al. (2014), is applied. This model decomposes the TPU Index series into its increases (TPU+) and decreases (TPU−) and creates two new TPU Index series.

Findings
Empirical findings indicate that increases in the TPU Index improve the US bilateral trade balance only in the short-run (no long-run impact). However, decreases in the TPU Index worsen the US trade balance in the short run but improve it in the long run. Apart from these effects detected on US–China bilateral trade balances, this empirical study draws the conclusion that changing trade policy uncertainty plays a significant determining role for bilateral trade volumes.

Originality/value
Decomposed TPU index with the nonlinear ARDL model enables us to examine the separate impacts of the changes in TPU+ and TPU− indexes on US bilateral trade balance with China. Therefore, this model may discover potentially concealed-hidden true impacts of TPU index on US bilateral trade balance with this country.
Qatar Airways: building a global brand
Authors: Hamad MA Fetais Abdulla , Al-Kwifi Osama Sam , U Ahmed Zafar , Khoa Tran Dang 
Published: October 2020

PurposeIn 2017, Qatar Airways was recognized as the world's number-one airline by SKYTRAX World Airline Awards. These international awards have been described as “the Oscars of the aviation industry,” reflecting global recognition and excellence in conducting business activities at the international level. The main purpose of this case-based research is to explore and evaluate the internationalization strategies employed by Qatar Airways in becoming known as one of the best airlines in the world.Design/methodology/approachIn accordance with the nature of this study, data were collected by interviewing managers from Qatar Airways as well as by exploiting supporting materials from secondary sources and airline-specific records. The recorded interviews were analyzed via content analysis to define airline strategies aimed at expanding globally and building a global brand.FindingsThe findings reveal that Qatar Airways has adopted effective strategies that have facilitated its aggressive global expansion and enhanced its global consumer recognition – mainly as a fast-growing network connecting important destinations that maintains a focused consumer orientation dedicated to providing an optimal travel experience. These strategies have been focused on building a superior consumer experience marked by exceptional comfort.Practical implicationsQatar Airways' implementation of internationalization strategies in the airline industry represents an innovative approach marked by efficient operations and high-quality standards. Both international business managers and academics can learn from these strategies and their implications for enhancing airlines' global reputation and overall quality performance.Originality/valueUnlike other research studies that investigate a wide range of firms across industries, this study focuses on exploring the factors that support the successful internationalization of a single firm, thus providing in-depth understanding of specific strategies to achieve global recognition. This study provides unique insights to analyze strategies and assess their practical relevance.
Open innovation environments as knowledge sharing enablers: the case of strategic technology and innovative management consortium
Authors: Crupi Antonio , Del Sarto Nicola , Di Minin Alberto , Phaal Rob , Piccaluga Andrea 
Published: October 2020

Purpose
This study aims to understand how open innovation (OI) environments can help organizations in implementing knowledge sharing (KS) practices defusing KS barriers.

Design/methodology/approach
An in-depth case study analysis on the strategic technology and innovation management (STIM) consortium at the Institute of Manufacturing of the University of Cambridge was performed during the 2019 and 2020 STIM program editions. To analyze data, this paper used the interpretive structural model on a sample of 20 managers participating in the STIM consortium, and this paper carried out an exploratory in-depth case study analysis to validate the results.

Findings
The findings shed light on the role of OI environments in defusing KS barriers in the process of inter-organizational KS.

Originality/value
Notwithstanding the importance of KS practices among organizations, only a few studies have recognized and investigated the role played by OI arrangements in enhancing KS practices.
Dimensions of dynamic marketing capability and export performance
Authors: Hoque Mohammad Tayeenul , Ahammad Mohammad Faisal , Tzokas Nikolaos , Gabay Gillie 
Published: October 2020

Purpose
The purpose of this paper is to develop a conceptual framework on the dimensions of dynamic marketing capability (DMC) and its relationship with export performance. The paper also proposes the mediating role of competitive hybrid strategy and the moderating role of environmental responsiveness in explaining the relationship between DMC and export performance.

Design/methodology/approach
By following the dynamic capability notion of the marketing and competitive strategy literature, this paper proposes a novel conceptualization of the DMC development process and the possible effect of DMC on attaining competitive advantage.

Findings
The paper postulates that a firm’s DMC can reflect complementary power when its higher-level marketing capabilities are bundled together to detect distributing channel members’ crucial needs, competitors’ action plans and satisfying market demand. As yet little is known about the main underlying dimensions of higher-level DMC construct, the paper contributes in proposing the key dimensions of DMC.

Originality/value
This research advances the knowledge-based view and resource-based views and evolves a solid foundation of DMC constructs comprising four higher-order marketing capabilities, namely, ambidextrous market orientation, customer relationship management capability, brand management capability and new product development capability. Thus, this paper contributes in DMC literature in explaining export performance.
Complexity management of corruption in Iran’s oil industry applying soft system dynamics methodology (SSDM)
Authors: Hosseinzadeh Mahnaz , Samadi Foroushani Marzieh , Tang Ou , Mehregan Mohammad Reza 
Published: October 2020

Purpose
Oil is the natural resource recognized as the most important source of revenue in oil-dependent countries and is most often referred to as being susceptible to corruption owing to its strategic importance. A major challenge in addressing and encountering the problems in complex social systems, such as corruption, is how to structure the problematic situation and how to capture mental models of the stakeholders involved in the situation, and also how to identify the system’s behavior in response to various policy intervention attempts in the long run. This study aims to shed new lights on modeling and simulating corrupt system of the oil industry, as a complex social system needed to be structured according to social system theories’ principles.

Design/methodology/approach
Parson’s theory is applied as a basic framework to capture the complexities of a corrupt system, dividing the system into political and structural, economic, legal and judicial and cultural and social sub-systems. Then soft system dynamics methodology, which is a combination of the two well-known methodologies, soft system methodology and system dynamics, is applied to model and simulate the complexities involved in the oil industry of Iran, which owns the second-largest oil reservoir in the world and its economy is much dependent on the oil revenue, struggles with corruption, and plans for a large amount of anti-corruption activities.

Findings
After simulating and calibrating the model, three groups of policies, namely, “reducing corruption opportunities,” “reducing corruption demand,” and “increasing anti-corruption capacity” are implemented in the model. As to the simulation results, due to the mutual inter-causality of opportunity and demand for corruption, individual application of each group of policies will not be helpful for long, rather a combination of policies will conduce to substantial improvements in declining corruption in the oil industry.

Originality/value
The developed model addresses the dynamics of the complex socio-economic system of corruption in the system of oil industry via modeling and simulation. The developed four-dimension system dynamics framework could be considered as a guidance for corruption modeling in general and as a basic model for corruption modeling of oil-dependent countries’ systems in particular.
A comparative analysis of environmental quality and Kuznets curve between two newly industrialized economies
Authors: Sen Kanon Kumar , Abedin Md. Thasinul 
Published: October 2020

PurposeDue to large amounts of coal burning, huge carbon dioxide emission and poor environmental quality, it is important to identify whether environmental Kuznets curve exists in China and India since in downward period of environmental Kuznets curve, economic growth in these countries will largely contribute to world environmental quality. Further, it helps to make a comparative analysis between China and India on how economic growth will contribute to the environmental quality in both upward and downward period of environmental Kuznets curve due to energy consumption.Design/methodology/approachThis study uses the data of carbon dioxide emission, per capita GDP and energy consumption from 1972 to 2017 to identify individual and panel-level environmental Kuznets curve of China and India. Before going to regression and causality analysis, unit root and cointegration tests are performed.FindingsThis study finds the existence of environmental Kuznets curve in China and India at both individual and panel level. Further, due to high energy consumption, environmental quality in China will deteriorate at a lower rate in the long run than that of India. Next, the increase in economic growth or per capita GDP in the long run will deteriorate environmental quality at a lower rate in China than that of India. Besides, with the zero level of energy consumption and per capita GDP, the environmental quality of China will be worse than that of India. However, increase in per capita GDP after threshold level will improve environmental quality in India at a higher rate than that of China.Research limitations/implicationsIt helps to formalize the comparative relationship between the two large Asian economies by knowing the influence of economic growth on environmental degradation due to energy consumption. However, this study cannot conclude exactly when China and India can avail the downturn in environmental Kuznets curve.Originality/valueIt firstly establishes a link among energy consumption, economic growth and environmental quality between China and India including comparative pace in both upward and downward period of environmental Kuznets curve.
Neighborhood context, police legitimacy and willingness to help the police in Shanghai, China
Authors: Liu Siyu , Wu Yuning , Sun Ivan , Li Feng 
Published: October 2020

PurposeFollowing social disorganization theory and the process-based model of policing, the present study aims to examine how characteristics of communities are meaningful in shaping citizens' willingness to work with the police in urban China.Design/methodology/approachBased on survey data from Shanghai, China, the study adopts a generalized hierarchical linear modeling (GHLM) approach to examine the effects of both individual- and neighborhood-level predictors on the outcome, while taking into consideration the unobserved additional neighborhood-level variations.FindingsResults suggest potential need of the process-based model to be modified in a Chinese context in that while police presence matters, measures on legitimacy are nonsignificant in shaping willingness to help the police, after controlling for neighborhood characteristics. More importantly, collective efficacy at the neighborhood level is related positively to residents' willingness to work with the police. Constant attention should be paid to the promotion of a collaborative and collectively caring environment, which can contribute to better coordination with the police, and greater willingness to be part of the larger cause of public safety.Originality/valueThe paper advances the scholarship with multi-level modeling and the role of communities in building stronger relationship with the police.
Persistence of tri‐trophic interactions in seasonal environments
Authors: Casas Goncalves Guilherme , Amarasekare Priyanga 
Published: October 2020

AbstractThe interplay between species interactions and environmental variation is well‐understood for pairwise interactions but not for multi‐trophic interactions. Understanding how such interactions persist in a thermally variable environment is particularly important given that most biodiversity on the planet consists of ectotherms whose body temperature depends on the environmental temperature.Here we present a trait‐based mathematical framework for investigating how tri‐trophic food chains persist in seasonal environments. We report two key findings.First, the persistence of the tri‐trophic interaction is enhanced if species at upper trophic levels (e.g. top predators) are more cold‐adapted than those at lower levels (e.g. basal resources) by virtue of lower thermal optima, wider response breadths and lower mortality within the favourable temperature range. The important implication is that the assembly and persistence of multi‐trophic interactions requires that species at lower trophic levels be somewhat maladapted to their ambient thermal environment, as in the case of recent invasions.Second, differential sensitivity to thermally varying environments provides a mechanistic explanation for the conflict of interest between the intermediate consumer and top predator. The same cold‐adaptations that increase the consumer's ability to increase when rare deter the predator's ability to do so. Thus, being well‐adapted to its thermal environment makes the intermediate consumer better able to acquire resources and avoid predators.We predict that the hierarchy in cold‐adaptation should constrain the number of trophic levels that can be supported in a given thermal environment, and that ectotherm food chain lengths should increase with increasing latitude because larger‐amplitude seasonal fluctuations generate more opportunities for species to diverge in their thermal optima.