bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of knowledge and motivation management on creativity
Authors: Muñoz-Pascual Lucía , Galende Jesús 
Published: July 2017

PurposeThe purpose of this paper is to analyze the influence that two variables related to human resources (HR) have on employee creativity – namely, knowledge management (KM) and motivation management (MM).Design/methodology/approachThe linear regression analyses are based on a sample of 306 employees from 11 Spanish companies belonging to three innovative clusters. In addition, “creativity” is considered an antecedent of technological innovation.FindingsKM and intrinsic MM are shown to inform creativity, whereas extrinsic MM has no such effect.Practical implicationsAlthough this study is based on cross-sectional data, the findings might induce researchers to investigate the effects of other HR variables, such as the types of relations between employees and their long-term impact on creativity. Management should encourage KM and intrinsic MM across employees, as the results indicate that tacit KM, explicit KM and intrinsic MM encourage a positive attitude toward creativity among employees.Originality/valueThe main contribution is new empirical evidence on the joint influence of aptitudes (KM) and attitudes (MM) on employee creativity. In addition, the study includes a key measure of employee creativity. The evidence reveals the types of KM and MM that encourage or inhibit creative employee behavior. The results show that once employees have reached a medium-high level of extrinsic MM, creativity will be affected solely by intrinsic MM.
Social, local and mobile commerce practices in omni-channel retailing
Authors: Yumurtacı Hüseyinoğlu Işık Özge , Galipoğlu Erdem , Kotzab Herbert 
Published: July 2017

Purpose
The purpose of this paper is to evaluate how retailing companies use social media, local and mobile commerce in their omni-channel management strategy. This approach, also known as SO-LO-MO, encompasses customer touchpoints that offer numerous available channels to consumers. The paper provides insights from 16 retailers in two countries, thus showing geographical differences in the SO-LO-MO as well as differences depending on product segments.

Design/methodology/approach
In order to analyse how retailing companies implement SO-LO-MO, a conceptual framework including 48 SO-LO-MO activities was derived from literature. The empirical validation was built upon qualitative and quantitative data collection by retrieving information from the websites, social media channels and mobile applications (apps). Analyses included triangulated content analysis as well as non-parametric statistical tests.

Findings
The research findings enable a comparison of the SO-LO-MO concept between retailers operating in the two countries. The authors were able to reveal similarities and differences in the SO-LO-MO-based omni-channel management strategies. The identified SO-LO-MO practices vary according to different product segments. The authors identified slightly more SO-LO-MO implementation and integration within the German sample. Differences in local commerce between the two samples appear to be statistically significant. Although the differences in mobile and social commerce are not of statistical significance, there are variations in practical usage.

Research limitations/implications
The research focusses on a small sample of retailers from different product segments in two markets.

Practical implications
The findings present the current state of the SO-LO-MO concept from the omni-channel perspective in Germany and Turkey.

Originality/value
In view of a limited theoretical understanding and empirical grounding on the SO-LO-MO concept, the findings provide empirical evidence by assessing innovative omni-channel management practices of leading retailers in various industry segments. Furthermore, the paper proposes a frame of reference for measuring the level of SO-LO-MO implementation from an omni-channel perspective.
A novel human-robot controlling approach inspired by the processes of muscle memory and conditioned reflex
Authors: Liu Xiangyu , Zhang Ping , Du Guanglong , He Ziping , Chen Guohao 
Published: July 2017

Purpose
The purpose of this paper is to provide a novel training-responding controlling approach for human–robot interaction. The approach is inspired by the processes of muscle memory and conditioned reflex. The approach is significant for dealing with the problems of robot’s redundant movements and operator’s fatigue in human–robot interaction system.

Design/methodology/approach
This paper presented a directional double clustering algorithm (DDCA) to achieve the training process. The DDCA ensured that the initial clustering centers uniformly distributed in every desired cluster. A minimal resource allocation network was used to construct a memory responding algorithm (MRA). When the human–robot interaction system needed to carry out a task for more than one time, the desired movements of the robot were given by the MRA without repeated training. Experimentally demonstrated results showed the proposed training-responding controlling approach could successfully accomplish human–robot interaction tasks.

Findings
The training-responding controlling approach improved the robustness and reliability of the human–robot interaction system, which presented a novel controlling method for the operator.

Practical implications
This approach has significant commercial applications, as a means of controlling for human–robot interaction could serve to point to the desired target and arrive at the appointed positions in industrial and household environment.

Originality/value
This work presented a novel training-responding human-robot controlling method. The human-robot controlling method dealt with the problems of robot’s redundant movements and operator’s fatigue. To the authors’ knowledge, the working processes of muscle memory and conditioned reflex have not been reported to apply to human-robot controlling.
Recent developments in robotic tactile perception
Authors: Bogue Robert 
Published: July 2017

Purpose
This paper aims to provide details of recent developments in robotic tactile sensing.

Design/methodology/approach
Following a short introduction, this paper first provides an overview of tactile sensing effects and technologies. It then discusses recent developments in tactile sensing skins. Tactile sensing for robotic prosthetics and hands is then considered and is followed by a discussion of “tactile intelligence”. Various experimental results are included. Finally, brief concluding comments are drawn.

Findings
This shows that many advanced, sensitive and technologically varied tactile sensing devices are being developed. These devices are expected to impart robots with a range of enhanced capabilities such as improved gripping and manipulation, object recognition, the control and robotic hands and prosthetics and collision detection.

Originality/value
Tactile sensing has an increasingly important role to play in robotics, and this paper provides a technical insight into a number of recent developments and their applications.
The Pransky interview: Dr Howie Choset, CTO, Advanced Robotics for Manufacturing Institute; Professor, Carnegie Mellon; snake robotics inventor and entrepreneur
Authors: Pransky Joanne 
Published: July 2017

Purpose
The following paper is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned-entrepreneur regarding the commercialization and challenges of bringing a technological invention to market. The paper aims to discuss these issues.

Design/methodology/approach
The interviewee is Dr Howie Choset, Chief Technical Officer at the Advanced Robotics for Manufacturing Institute and Professor of Robotics at Carnegie Mellon University (CMU). Motivated by applications in confined spaces, Dr Choset created a comprehensive program in modular, high degree(s) of freedom (DOF) and multirobot systems. This research led Dr Choset to cofound three companies. In this interview, Dr Choset shares some of his personal and business experiences of working in academia and industry.

Findings
Dr Choset received his Bachelor of Science, Engineering (BSE) degree in computer science and his Bachelor of Science, Economics (BSEcon) degree in business from the University of Pennsylvania in 1990. Dr Choset received his Masters and PhD from Caltech in mechanical engineering and robotics in 1991 and 1996. Since 1996, Dr Choset has been a Professor of Robotics at CMU and Director of the CMU Biorobotics Lab. He is also the Director of CMU’s undergraduate major and minor of Robotics. Along with his students, Choset formed several companies including Medrobotics (2005) for surgical systems; Hebi Robotics (2014) for modular robots; and Bito Robotics (2017) for autonomous guided vehicles. In 2017, Choset co-led the formation of the Advanced Robotics for Manufacturing Institute, which is a $250m national institute advancing both technology development and education for robotics in manufacturing. Choset is a founding editor of the journal Science Robotics and is currently serving on the editorial board of International Journal Robotics Research.

Originality/value
Motivated by collaborating with his students and colleagues, Dr Choset continues to make fundamental contributions in design, motion planning, path planning and estimation with the goal of bringing the precision of computer science and applied mathematics to the realities and uncertainties of mechanical systems. Choset’s work has been supported by both industry and government. Medrobotics Corp., a medical robotics company based on Choset’s snake robots, has received US Food and Drug Administration (FDA) regulatory clearance for both colorectal and otolaryngology procedures in the USA.
Autonomous location control of a robot manipulator for live maintenance of high-voltage transmission lines
Authors: Jiang Wei , Wu Gongping , Fan Fei , Wang Wei , Zhang Jie , Ye Xuhui , Zhou Peng 
Published: July 2017

Purpose
This paper aims to develop a robot for tightening charged bolt to solve the shortcomings of high labor intensity, low efficiency, high risk and poor reliability in artificially tightening drainage board bolt of strain clamp for high voltage transmission line. Realizing bolt-nut capture and location by manipulator is a critical process to complete the whole working task. To solve such key technology, an autonomous location control method for N-joint robot manipulator based on kinematics was proposed.

Design/methodology/approach
Through D-H kinematics analysis under flexible working environment of transmission line, the autonomous location control of double manipulators can be abstracted as a nonlinear approximation problem based on joint inverse kinematics. In addition, regarding the complex coupling relationship among different joint angles and the complex decoupling process which leads to the non-uniqueness of inverse solution, an improved backpropagation (BP) network was proposed based on the combination of dynamic adaptive adjustment of learning rate and variable momentum factor, so that the inverse kinematics of manipulator can be solved and the optimization evaluation mechanism of inverse solution can be presented. The proposed autonomous location control method is of adaptability to flexible environment and structural parameters of different drainage boards. The simulation results verified the effectiveness of the proposed method. Compared with the other location control, this method can achieve faster location speed, higher precision and lower hardware cost. Finally, the field operation test further validated that such autonomous location control method was of strong engineering practicability.

Findings
The proposed autonomous location control method is adaptable to a flexible environment and to the structural parameters of different types of drainage board. Simulation results confirm the effectiveness of the proposed method, which, in comparison with other approaches to location control, can achieve faster location, higher precision and lower hardware cost. Finally, a field test further confirms the engineering practicability of the proposed autonomous location control method.

Originality/value
The proposed method can achieve faster location speed, higher precision which meet the requirement of real-time control relative to the standard BP algorithm. Moreover, it is of strong adaptability to flexible environment and structural parameters for different drainage board. Field operation experiment further validated the engineering practicability of the method.
Analysis of non-geometric accuracy effects of articulated robots
Authors: Lux Gregor , Ulrich Marco , Baker Thomas , Hutterer Martin , Reinhart Gunther 
Published: July 2017

Purpose
Articulated robots are widely used in industrial applications owing to their high repeatability accuracy. In terms of new applications such as robot-based inspection systems, the limitation is a lack of pose accuracy. Mostly, robot calibration approaches are used for the improvement of the pose accuracy. Such approaches however require a profound understanding of the determining effects. This paper aims to provide a non-destructive analysis method for the identification and characterisation of non-geometric accuracy effects in relation to the kinematic structure for the purpose of an accuracy enhancement.

Design/methodology/approach
The analysis is realised by a non-destructive method for rotational, uncoupled robot axes with the use of a 3D lasertracker. For each robot axis, the lasertracker position data for multiple reflectors are merged with the joint angles given by the robot controller. Based on this, the joint characteristics are determined. Furthermore, the influence of the kinematic structure is investigated.

Findings
This paper analyses the influence of the kinematic structure and non-geometric effects on the pose accuracy of standard articulated robots. The provided method is shown for two different industrial robots and presented effects incorporate tilting of the robot, torsional joint stiffness, hysteresis, influence of counter balance systems, as well as wear and damage.

Practical implications
Based on these results, an improved robot model for a better match between the mathematical description and the real robot system can be achieved by characterising non-geometric effects. In addition, wear and damages can be identified without a disassembly of the system.

Originality/value
The presented method for the analysis of non-geometric effects can be used in general for rotational, uncoupled robot axes. Furthermore, the investigated accuracy influencing effects can be taken into account to realise high-accuracy applications.
A proposed model for effective negotiation skill development
Authors: Chapman Elizabeth , Miles Edward W. , Maurer Todd 
Published: July 2017

PurposePrevious research on negotiation skills has focused mostly on the negotiation itself and tactics used when bargaining, while little research has examined the process by which people become effective negotiators. The purpose of this paper is to develop an initial model from an intra-organizational perspective to outline the factors that contribute to the development of negotiation skills and behaviors by employees.Design/methodology/approachThis conceptual paper relies on prior research and existing theory to focus on the types of developmental and learning experiences and processes that lead to the acquisition of three specific types of key negotiation skills and behaviors.FindingsDistributive, integrative, and adaptable negotiation skills are developed most effectively via different learning and development activities, respectively. Additionally, unique individual difference and situational variables could contribute to particular negotiation behaviors, either directly or via an interaction with developmental experiences.Practical implicationsThe paper proposes a model for future testing in which results can provide support for tailored/customized training and development of employee negotiation skills. Providing the correct people with the correct tools in the correct manner is always desirable by practitioners.Originality/valueThis proposed holistic model provides new insights, structure, and suggestions for more research on factors that lead to negotiation skill development and exhibition of effective negotiation behaviors. This paper goes beyond description of negotiation tactics and addresses the various negotiation contexts and the unique skills needed for each. Most importantly, the paper addresses how those skills are uniquely and most effectively developed.
Impact of psychological capital on organizational citizenship behavior
Authors: Gupta Manish , Shaheen Musarrat , Reddy Prathap K. 
Published: July 2017

Purpose
The purpose of this paper is to examine the mediating role of work engagement (WE) between psychological capital (PsyCap) and the two facets of organizational citizenship behavior (OCB) which involves both individual and organization. It also examines the moderating role of perceived organizational support (POS) between PsyCap and WE, and WE and the two facets of OCB.

Design/methodology/approach
A total of 293 responses gathered from employees working in diverse service sector industries in India were assessed using structural equation modeling.

Findings
Overall, the results support the mediating role of WE in the PsyCap-OCB relationship, and the moderation of POS between WE and the two facets of OCB.

Research limitations/implications
This study helps in understanding how WE-OCB relationship can be negatively affected in the presence of high POS.

Practical implications
The results encourage organizations to establish systems for enhancing the engagement levels of their employees, which according to this study may be achieved by creating and maintaining vibrant work environment.

Originality/value
This study helps in understanding the role of POS among PsyCap, WE, \and the two factors of OCB.
Learning from errors: critical incident reporting in nursing
Authors: Gartmeier Martin , Ottl Eva , Bauer Johannes , Berberat Pascal Oliver 
Published: July 2017

PurposeThe purpose of this paper is to conceptualize error reporting as a strategy for informal workplace learning and investigate nurses’ error reporting cost/benefit evaluations and associated behaviors.Design/methodology/approachA longitudinal survey study was carried out in a hospital setting with two measurements (time 1 [t1]: implementation of a critical incident reporting (CIR) system; t2: three months after t1). Correlational and hierarchical cluster analyses were used to interpret the data.FindingsPositive cost-benefit correlations and negative cross-correlations were found, with no substantial changes over time. “Reporters” and “learners” were differentiated regarding error-reporting behaviors. Cost-benefit perceptions predicted membership in the “reporters” group; perception of effort costs negatively predicted an error-reporting preference.Research limitations/implicationsThis study was limited, in that only a questionnaire was used to collect data.Practical implicationsStressing the benefits of CIR systems should contribute to reducing employees’ perception of reporting costs; thus, ease of use is a critical factor in CIR system use.Originality/valueThe study empirically probes a well-established theoretical model, and various ideas for further research are suggested.
Valuing errors for learning: espouse or enact?
Authors: Grohnert Therese , Meuwissen Roger H.G. , Gijselaers Wim H. 
Published: July 2017

Purpose
This study aims to investigate how organisations can discourage covering up and instead encourage learning from errors through a supportive learning from error climate. In explaining professionals’ learning from error behaviour, this study distinguishes between espoused (verbally expressed) and enacted (behaviourally expressed) values with respect to learning from errors.

Design/methodology/approach
As part of mandatory training sessions, 150 early-career auditors completed an online questionnaire measuring error orientation and help-seeking behavior after making an error as attitude- and behavior-based measures, next to measuring perceived organizational learning from error climate. Multiple mediation analysis is used to explore direct and indirect effects.

Findings
Covering up errors was negatively and learning from errors positively related to an organisation’s learning from error climate. For covering up, this relationship is an indirect one – espoused and enacted values need to match. For learning from errors, this relationship is direct: espoused values positively relate to learning behaviour after errors.

Practical implications
By designing a supportive learning from error climate in which members at all hierarchical levels role-model learning from errors behaviour, organisations can actively discourage covering up and encourage learning from errors.

Originality/value
This study applies the theory of espoused versus enacted values to learning from error using a triangulation of measures in an understudied research setting: auditing.
Data visualization using Viewshare
Authors: S. Shreedhar , Naik Manju 
Published: July 2017

Purpose
This paper aims to introduce the use of data visualization tool, the Viewshare, in library environment.

Design/methodology/approach
Viewshare has been successfully adopted in various institutions for depicting cultural heritage collections.

Findings
An attempt is made here to explore the possibility of the use of Viewshare in academic libraries.

Social implications
The details of e-journals being subscribed by the Kuvempu University are presented in an attractive and interactive environment using Viewshare to provide clear insights to library users.

Originality/value
The steps followed for creating different views have been explained to make other professionals feel confident and motivate them to use Viewshare in library environment.
The Pseudomonas putida CsrA/RsmA homologues negatively affect c‐di‐GMP pools and biofilm formation through the GGDEF/EAL response regulator CfcR
Authors: Huertas‐Rosales Óscar , Romero Manuel , Heeb Stephan , Espinosa‐Urgel Manuel , Cámara Miguel , Ramos‐González María Isabel 
Published: July 2017

SummaryExpression of cfcR, encoding the only GGDEF/EAL response regulator in Pseudomonas putida, is transcriptionally regulated by RpoS, ANR and FleQ, and the functionality of CfcR as a diguanylate cyclase requires the multisensor CHASE3/GAF hybrid histidine kinase named CfcA. Here an additional level of cfcR control, operating post‐transcriptionally via the RNA‐binding proteins RsmA, RsmE and RsmI, is unraveled. Specific binding of the three proteins to an Rsm‐binding motif (5′CANGGANG3′) encompassing the translational start codon of cfcR was confirmed. Although RsmA exhibited the highest binding affinity to the cfcR transcript, single deletions of rsmA, rsmE or rsmI caused minor derepression in CfcR translation compared to a ΔrsmIEA triple mutant. RsmA also showed a negative impact on c‐di‐GMP levels in a double mutant ΔrsmIE through the control of cfcR, which is responsible for most of the free c‐di‐GMP during stationary phase in static conditions. In addition, a CfcR‐dependent c‐di‐GMP boost was observed during this stage in ΔrsmIEA confirming the negative effect of Rsm proteins on CfcR translation and explaining the increased biofilm formation in this mutant compared to the wild type. Overall, these results suggest that CfcR is a key player in biofilm formation regulation by the Rsm proteins in P. putida.