bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanical stimulation promotes enthesis injury repair by mobilizing Prx1+cells via ciliary TGF-β signaling
Authors: Xiao Han , Zhang Tao , Li Changjun , Cao Yong , Wang Linfeng , Chen Huabin , Li Shengcan , Guan Changbiao , Hu Jianzhong , Chen Di , Chen Can , Lu Hongbin
Published: September 2021

Proper mechanical stimulation can improve rotator cuff enthsis injury repair. However, the underlying mechanism of mechanical stimulation promoting injury repair is still unknown. In this study, we found that Prx1+cell was essential for murine rotator cuff enthesis development identified by single-cell RNA sequence and involved in the injury repair. Proper mechanical stimulation could promote the migration of Prx1+cells to enhance enthesis injury repair. Meantime, TGF-β signaling and primary cilia played an essential role in mediating mechanical stimulation signaling transmission. Proper mechanical stimulation enhanced the release of active TGF-β1 to promote migration of Prx1+cells. Inhibition of TGF-β signaling eliminated the stimulatory effect of mechanical stimulation on Prx1+cell migration and enthesis injury repair. In addition, knockdown ofPallidinto inhibit TGF-βR2 translocation to the primary cilia or deletion ofIFT88in Prx1+cells also restrained the mechanics-induced Prx1+cells migration. These findings suggested that mechanical stimulation could increase the release of active TGF-β1 and enhance the mobilization of Prx1+cells to promote enthesis injury repair via ciliary TGF-β signaling.
Global fitting for high-accuracy multi-channel single-molecule localization
Authors: Li Yiming , Shi Wei , Liu Sheng , Matti Ulf , Wu Decheng , Ries Jonas
Published: September 2021

Multi-channel detection in single-molecule localization microscopy (SMLM) greatly increases information content for various biological applications. Here, we present globLoc, a graphics processing unit (GPU) based global fitting algorithm with flexible PSF modeling and parameter sharing, to extract maximum information from multi-channel single molecule data. We show, both in simulations and experiments, that global fitting can substantially improve the 3D localization precision for biplane and 4Pi SMLM and color assignment for ratiometric multicolor imaging.
Cell-surface tethered promiscuous biotinylators enable small-scale surface proteomics of human exosomes
Authors: Kirkemo Lisa L. , Elledge Susanna K. , Yang Jiuling , Byrnes James , Glasgow Jeff , Blelloch Robert , Wells James A.
Published: September 2021

Characterization of cell surface proteome differences between cancer and healthy cells is a valuable approach for the identification of novel diagnostic and therapeutic targets. However, selective sampling of surface proteins for proteomics requires large samples (>10e7 cells) and long labeling times. These limitations preclude analysis of material-limited biological samples or the capture of rapid surface proteomic changes. Here, we present two labeling approaches to tether exogenous peroxidases (APEX2 and HRP) directly to cells, enabling rapid, small-scale cell surface biotinylation without the need to engineer cells. We used a novel lipidated DNA-tethered APEX2 (DNA-APEX2), which upon addition to cells promoted cell agnostic membrane-proximal labeling. Alternatively, we employed horseradish peroxidase (HRP) fused to the glycan binding domain of wheat germ agglutinin (WGA-HRP). This approach yielded a rapid and commercially inexpensive means to directly label cells containing common N-Acetylglucosamine (GlcNAc) and sialic acid glycans on their surface. The facile WGA-HRP method permitted high surface coverage of cellular samples and enabled the first comparative surface proteome characterization of cells and cell-derived exosomes, leading to the robust quantification of 1,020 cell and exosome surface proteins. We identified a newly-recognized subset of exosome-enriched markers, as well as proteins that are uniquely upregulated on Myc oncogene-transformed prostate cancer exosomes. These two cell-tethered enzyme surface biotinylation approaches are highly advantageous for rapidly and directly labeling surface proteins across a range of material-limited sample types.
Fault-tolerant control of spacecraft attitude regulation: a concise adaptive dual-mode scheme
Authors: Lu Yu , Ye Pengpeng , Dai Ming-Zhe , Wu Jin , Zhang Chengxi
Published: September 2021

Purpose

This paper aims to address the spacecraft attitude regulation problem in the presence of extrinsic disturbances and actuator faults.

Design/methodology/approach

Based on adaptive backstepping design technique, a new concise adaptive dual-mode control scheme is proposed, which can either use the fault information detected by fault diagnosis mechanisms or switch to the fault-unknown mode when the fault diagnosis information is non-existent for control signal generation. These two modes share an adaptive mechanism that reduces the complexity of the algorithm.

Findings

The new fault-tolerant attitude control algorithm can accommodate both modes with and without fault diagnosis mechanisms.

Originality/value

The proposed algorithm in this paper can be applied to both cases when the attitude control system is equipped with or without fault diagnosis capability. This also enhances the robustness of attitude control algorithm. This study performs numerical simulations and verifies that the algorithm could effectively adapt to both modes.
Embracing advanced manufacturing technologies for performance improvement: an empirical study
Authors: Singh Rajesh Kumar , Gurtu Amulya
Published: September 2021

Purpose

This study has analyzed strategic issues in implementing advanced manufacturing technologies (AMTs) in manufacturing organizations in India and their relative importance.

Design/methodology/approach

A survey of manufacturing organizations was conducted, and the data were analyzed using statistical tools (one-sample t-tests, correlation and regression analyses).

Findings

Improvement in product quality and flexibility of operations are the motivation for AMTs implementation. Top management support and sound financial conditions are essential for implementing AMTs. Successful implementation of AMTs helps in reducing the lead time and improving overall business performance.

Research limitations/implications

The findings of this study will help organizations in the implementation of AMTs for improving productivity and business performance. The study is limited to manufacturing organizations in India.

Practical implications

Organizations should allocate sufficient funds for AMT applications. Organizational culture should be made conducive to the adoption of new technologies. Employees should be provided adequate training for its successful implementation.

Originality/value

The main contribution of this paper is that it provides a detailed analysis of strategic issues for implementing AMTs in manufacturing organizations.
Design of a small disc-type coreless permanent magnet brushed DC actuator
Authors: Alizadeh Pahlavani Mohammad Reza , Tahanian Hamed
Published: September 2021

Purpose

Design of small disc-type permanent magnet (PM) brushed DC motors for servomechanisms is challenging. The purpose of this paper is to propose a special coreless double-sided structure. This easy to manufacture motor has two set of shifted concentrated windings on both sides of the rotor. All of the coils in each winding are simply connected in series. A simple arcless commutator, which shares the features of both the usual commutators and slip rings, is connected to each winding at only two points.

Design/methodology/approach

By replacing the PMs with an equivalent current density, main design equations of the motor have been derived through the solving of scalar Poisson equation. A radial division technique has been used to take the radial variations into account. This provides the ability of considering various shapes of coils and PMs. A novel iterative algorithm has been proposed to design a motor with high torque capability, compared to other coreless counterparts. Some design variables are obtained based on an independent optimization problem, which maximizes the active portion of windings. The other variables are calculated in such a way that the design requirements are satisfied.

Findings

The feasibility and capability of the new structure have been proved by prototyping a sample motor. Comparing the design outputs with the results of the 3D finite element analysis and experimental tests shows a good agreement. This verifies the accuracy of the proposed design method.

Originality/value

A new structure for PM brushed DC motors and a novel algorithm for its design has been developed.
Local perspectives on landslide prevention and management in Kalimpong district, West Bengal, India
Authors: Gurung Lochan , McGowran Peter
Published: September 2021

Purpose

This paper is joint reflection on the role of research assistants (RAs) in fieldwork for disaster risk research, particularly at the doctoral level. The paper has been co-authored by Gurung, who worked as a RA with the other author McGowran during his doctoral field research in Kalimpong from May 2019 to January 2020. The piece allows Gurung to voice his ideas on the research in a published research output and allows both authors to reflect on how the collaborative approach taken helped to make the research more responsive to, and reflective of, the problems people affected by landslides in Kalimpong face. The paper aims to highlight the benefits of working with RAs on landslide prevention and management in areas that may be unfamiliar and to provide a space for the RAs to voice their opinion on the research.

Design/methodology/approach

The paper is split into sections written by and in the voice of the authors. This reflects a compromise between wanting Gurung's voice to be clearly heard in the piece and the challenges of non-academically trained RAs contributing to academic outputs that require specific training. Brief outlines of Kalimpong district disaster research in the region are set out by McGowran initially. Gurung then outlines how he became involved in the research and how this affected the research methodology. He reflects on how the research played out and presents some brief reflections on the findings. McGowran then concludes the piece.

Findings

The authors discuss how landslides in Kalimpong are related to locally specific political, economic, cultural and physical processes. It is only through discussing these processes with the people who live with and are affected by these landslides that this more holistic understanding can be gained, even though complete explanations are never usually found. Ideas for further research into landslides in Kalimpong and elsewhere are presented, centering on the involvement of people affected by disasters in this research.

Originality/value

The authors hope the publication of the paper might set more of a precedent for the voice of RAs – and those who are affected by disasters – to be more clearly heard in disaster risk research and practice in future. More of this type of research could help to address some of the issues this special issue raises.
High-concentration time–frequency analysis for multi-component nonstationary signals based on combined multi-window Gabor transform
Authors: Wang Qiang , Meng Chen , Wang Cheng
Published: September 2021

Purpose

This study aims to reveal the essential characteristics of nonstationary signals and explore the high-concentration representation in the joint time–frequency (TF) plane.

Design/methodology/approach

In this paper, the authors consider the effective TF analysis for nonstationary signals consisting of multiple components.

Findings

To make it, the authors propose the combined multi-window Gabor transform (CMGT) under the scheme of multi-window Gabor transform by introducing the combination operator. The authors establish the completeness utilizing the discrete piecewise Zak transform and provide the perfect-reconstruction conditions with respect to combined TF coefficients. The high-concentration is achieved by optimization. The authors establish the optimization function with considerations of TF concentration and computational complexity. Based on Bergman formulation, the iteration process is further analyzed to obtain the optimal solution.

Originality/value

With numerical experiments, it is verified that the proposed CMGT performs better in TF analysis for multi-component nonstationary signals.
Online private self-disclosure’s potential for experiential value co-creation
Authors: Haji Iftakar Hassan Abdulla , Peluso Alessandro M. , Jong Ad de
Published: September 2021

Purpose

This study aims to integrate and extend existing approaches from self-identity literature by examining the underexplored aspects of online private self-disclosure. The study first explores the experiential value co-created when consumers voluntarily self-disclose on public platforms. Second, it sheds light on what motivates such consumers to disclose private self-images and experiences, thus giving up some degree of privacy on an unrestricted platform.

Design/methodology/approach

This study conducted 65 laddering interviews and observed the profiles of ten consumers, who actively posted self-images on Instagram, through a netnographic study. Then, this study implemented a means-ends chain analysis on interview data.

Findings

This study found that online private self-disclosure can involve a co-created experiential value that consists of consumers’ self-affirmation, affective belief and emotional connection. These value components derive from three higher-order psychological consequences – empowerment, buffering offline inadequacy of self-worth and engagement – and four functional consequences – opportunity to learn, online control, self-brand authenticity and impression management.

Implications

Operationally, this study proposes that Instagram could be configured and synched with other social networking sites to provide a more complete representation of the online self. Using algorithms that simultaneously pull from other social networking sites can emotionally connect consumers to a more relevant and gratifying personalized experience. Additionally, managers could leverage the findings to tailor supporting tools to transfer consumers’ private self-disclosure skills learned during online communication into their offline settings.

Originality

This research contributes to the extant marketing literature by providing insights into how consumers can use private self-disclosure to co-create experiential value, an emerging concept in modern marketing that is key to attaining satisfied and loyal consumers. This study shows that, even in anonymous online settings, consumers are willing to self-disclose and progress to stable intimate exchanges of disclosure by breaking their inner repression and becoming more comfortable with releasing their desires in an emotional exchange.
A new subject-based retrieval and search result visualization approach for scientific digital libraries
Authors: Bakhshayesh Sayed Mahmood , Ahmadi Abbas , Mohebi Azadeh
Published: September 2021

Purpose

Many search engines in digital libraries are restricted to the terms presented in users’ queries. When users cannot represent their information needs in terms of keywords in a query, the search engine fails to provide appropriate results. In addition, most search engines do not have the ability to visualize search results for users to help them in their information journey. The purpose of this paper is to develop a new approach for search result visualization in digital libraries. The visualization approach enables subject-based visualization of search results and search queries.

Design/methodology/approach

To enable subject-based visualization of search results in digital libraries, new subject-based document retrieval is proposed in which each document is represented as a vector of subjects as well. Then, using a vector space model for information retrieval, along with the subject-based vector, related documents to the user’s query are retrieved, whilst each document is visualized through a ring chart, showing the inherent subjects within each document and the query.

Findings

The proposed subject-based retrieval and visualization approach is evaluated from various perspectives to amplify the impact of the visualization approach from users’ opinions. Users have evaluated the performance of the proposed subject-based retrieval and search result visualization, whilst 67% of users prefer subject-based document retrieval and 80% of them believe that the proposed visualization approach is practical.

Research limitations/implications

This research has provided a subject-based representation scheme for search result visualization in a digital library. The implication of this research can be viewed from two perspectives. First, the subject-based retrieval approach provides an opportunity for the users to understand their information needs, beyond the explicit terms in the query, leading to results, which are semantically relevant to the query. Second, the simple subject-based visualization scheme, helps users to explore the results easily, whilst allowing them to build their knowledge experience.

Originality/value

A new vectorized subject-based representation of documents and queries is proposed. This representation determines the semantic and subject-based relationship between a given query and documents within a digital scientific library. In addition, it also provides a subject-based representation of the retrieved documents through which users can track the semantic relationship between the query and retrieve documents, visually.
The impact of exporting on women's employment
Authors: Dikilitas Begum , Fazlioglu Burcu , Dalgic Basak
Published: September 2021

Purpose

This paper aims to examine the effect of exports on women's employment rate for Turkish manufacturing firms over a recent period of 2003–2015.

Design/methodology/approach

The authors establish treatment models and use propensity score matching (PSM) techniques together with difference-in-difference methodology.

Findings

The results of the study indicate that starting to export increases women’s employment rate for manufacturing firms. Gains in female employment rates are observed for the firms operating in low and medium low technology intensive sectors, low-wage sectors as well as laborlabor-intensive goods exporting sectors.

Originality/value

The authors complement previous literature by utilizing a rich harmonized firm-level dataset that covers a large number of firms and a recent time period. The authors distinguish between several sub-samples of firms according to technology intensity of the sector in which they operate, wage level and factor intensity of exports and investigate whether or not women gain from trade in terms of employment opportunities.
Impact of psychological contract fulfillment on well-being through the mediation of psychological distress: unveiling the evidences from banking sector
Authors: Karani Anushree M. , Deshpande Revati Chandrashekhar , Jayswal Mitesh
Published: September 2021

Purpose

This paper aims to explore the content of the psychological contract (PC), i.e. work-family conflict (WFC), family-work conflict (FWC), work overload (WO) and work autonomy (WA) and its impact on well-being (WB), i.e. job satisfaction (JS), family satisfaction (FS), life satisfaction (LS), through the mediation of psychological distress (PD).

Design/methodology/approach

The current study has adopted a quantitative approach and a cross-sectional research design with a snowball sampling technique. The sample size consists of 400 employees from the banking sector. SPSS and AMOS 20v has been used for structural equation modelling to give empirical findings from the responses collected.

Findings

The current study has checked the relationship between PC and WB through the mediation analysis of PD. WA was not affecting the WB of banking employees. The study found that there was partial mediation. It was also proven that the lower the breach of PC lower the PD, and the higher the WB.

Originality/value

The current study has tried to explain the content of PC among the employees of the banking sector and how that is associated with WB. There was limited work from which showcase the WFC, FWC and WO from the view of PC theory, and it affects different WB, i.e. JS, LS and FS.
Intentional ingestion of batteries and razor blades by a prisoner: a true emergency?
Authors: Pantazopoulos Ioannis , Mavrovounis Georgios , Mermiri Maria , Adamou Antonis , Gourgoulianis Konstantinos
Published: September 2021

Purpose

Few case studies in the literature report on adult patients with intentional foreign body ingestion. Prisoners deliberately ingest foreign bodies, such as cylindrical alkaline batteries and razor blades, to achieve hospitalization or commit suicide. The purpose of this paper is to present a case of deliberate ingestion of batteries and razor blades by an inmate.

Design/methodology/approach

The authors present a case of an incarcerated man in Greece, who intentionally ingested three cylindrical alkaline batteries and three razor blades wrapped in aluminum foil.

Findings

The patient was treated conservatively with serial radiographs and was subsequently discharged without complication. This paper discusses the complications and examine the current guidelines available.

Originality/value

To best of authors’ knowledge, this is the first report of a simultaneous ingestion of batteries and razor blades.
FEA of reinforced concrete beam-column joint with steel fibers for cyclic loading
Authors: Ahmad Shoaib , Hasnain Ghulamul
Published: September 2021

Purpose

Steel fibers reinforced concrete (SFRC) is now widely accepted as a construction material for its added benefits. The proven increases in high shear capacity, toughness, bridging action of fibers and bond improvement from addition of steel fibers into mix design is a field yet to be explored, Therefore, Reinforced Cement Concrete (RCC) beam-column joint with steel fibers was modeled and analyzed for cyclic loading.

Design/methodology/approach

Beam-column joint is the most critical section of a structure under mixed loading such as that during a seismic episode. Therefore, in this research a reinforced SFRC beam column joint is modeled and analyzed for cyclic earthquake loading with the help of finite element analysis (FEA) software ABAQUS to compare the results with the experimental study.

Findings

Nonlinear static and nonlinear dynamic analysis are carried out on the SFRC joint for the comparison of simulated results with the experimental analysis.

Originality/value

In this paper, Initially, modeling of SFRC joint was done. Then, the finite element analysis of beam-column joint with steel fibers was carried out. After number of simulations, obtained FEA results were compared with the experimental work on the based on the load vs deflection curve, shear stresses, plastic strain region and plastic strain pattern. After the comparison, it was found that the performance of the numeric model for cyclic loading verified the experimental study, and the results obtained were quite promising.
Antioxidant behavior and tribological performance of a novel multifunctional additive in complex lithium grease
Authors: Chao Mianran , Jin Ming , Gong Peiwei , Shen Duyi , Zhu Lili
Published: September 2021

Purpose

This paper aims to contrastively investigate the antioxidant behavior and tribological performance of a novel multifunctional additive (PBT) and dialkyldithiophosphate (ZDDP) in complex lithium grease (CLG).

Design/methodology/approach

PBT was successfully synthesized through esterification reaction. The antioxidant behavior of PBT and ZDDP was investigated by thermal analysis, and meanwhile, their tribological performance was evaluated by Optimol SRV-IV oscillating reciprocating friction and wear tester (SRV-IV test) and MRS-1J four-ball tester (Four-ball test). Furthermore, their anticorrosion ability was determined by copper strip corrosion test.

Findings

Four-ball tests showed that the extreme pressure property of PBT was a little inferior to that of ZDDP. Besides, all the other results demonstrated that PBT showed more superior antioxidation stability, friction-reduction and antiwear ability, as well as anticorrosion performance than ZDDP.

Originality/value

This work provides a study of hindered phenol derivative as a multifunctional additive in lubricant grease, which can contribute to the development of substitution of ZDDP.
Integrating human experience in deep reinforcement learning for multi-UAV collision detection and avoidance
Authors: Wang Guanzheng , Xu Yinbo , Liu Zhihong , Xu Xin , Wang Xiangke , Yan Jiarun
Published: September 2021

Purpose

This paper aims to realize a fully distributed multi-UAV collision detection and avoidance based on deep reinforcement learning (DRL). To deal with the problem of low sample efficiency in DRL and speed up the training. To improve the applicability and reliability of the DRL-based approach in multi-UAV control problems.

Design/methodology/approach

In this paper, a fully distributed collision detection and avoidance approach for multi-UAV based on DRL is proposed. A method that integrates human experience into policy training via a human experience-based adviser is proposed. The authors propose a hybrid control method which combines the learning-based policy with traditional model-based control. Extensive experiments including simulations, real flights and comparative experiments are conducted to evaluate the performance of the approach.

Findings

A fully distributed multi-UAV collision detection and avoidance method based on DRL is realized. The reward curve shows that the training process when integrating human experience is significantly accelerated and the mean episode reward is higher than the pure DRL method. The experimental results show that the DRL method with human experience integration has a significant improvement than the pure DRL method for multi-UAV collision detection and avoidance. Moreover, the safer flight brought by the hybrid control method has also been validated.

Originality/value

The fully distributed architecture is suitable for large-scale unmanned aerial vehicle (UAV) swarms and real applications. The DRL method with human experience integration has significantly accelerated the training compared to the pure DRL method. The proposed hybrid control strategy makes up for the shortcomings of two-dimensional light detection and ranging and other puzzles in applications.
Industrial dynamics and economic growth in health-care context. Evidence from selected OECD countries
Authors: Ying Song , Leone Daniele , Cicchiello Antonella Francesca , Cicchiello Antonella Francesca , Kazemikhasragh Amirreza
Published: September 2021

Purpose

The economic shock posed by the current COVID-19 outbreak brought out a worldwide public health emergency with a close relationship between the industrial marketing practices, the health level of society and its economic development. The purpose of this study is to analyse the industrial dynamics in health care and their impact on economic growth and health status.

Design/methodology/approach

To empirically investigate the relationship between growth and health, the authors use a data set drawn from 29 selected Organisation for Economic Co-operation and Development (OECD) countries over the period 2000 and 2019. Using panel regressions, the authors investigate the impact of the health-care industry measured in terms of health status, health expenditure, sales on pharmaceutical products, the number of persons working in health care and the coverage by private health insurances. Fixed effect and random effect regressions are used to estimate this model.

Findings

Overall, the results are suggestive of a nexus between the industrial marketing dynamics of health-care context and economic growth – both interacting and improving each other. As the quality of the health-care market enhances, the economy grows richer and the health status of the population improves considerably.

Practical implications

To support health-care markets in OECD countries, health policymakers need to formulate a long-term industrial health policy that addresses all the social and individual determinants of health.

Originality/value

To the best of the knowledge, this is the first study to provide a better understanding of the relationship between health-care industrial dynamics and economic growth in OECD countries along different dimensions.
Perspectives on computing ethics: a multi-stakeholder analysis
Authors: Gordon Damian , Stavrakakis Ioannis , Gibson J. Paul , Tierney Brendan , Becevel Anna , Curley Andrea , Collins Michael , O’Mahony William , O’Sullivan Dympna
Published: September 2021

Purpose

Computing ethics represents a long established, yet rapidly evolving, discipline that grows in complexity and scope on a near-daily basis. Therefore, to help understand some of that scope it is essential to incorporate a range of perspectives, from a range of stakeholders, on current and emerging ethical challenges associated with computer technology. This study aims to achieve this by using, a three-pronged, stakeholder analysis of Computer Science academics, ICT industry professionals, and citizen groups was undertaken to explore what they consider to be crucial computing ethics concerns. The overlap between these stakeholder groups are explored, as well as whether their concerns are reflected in the existing literature.

Design/methodology/approach

Data collection was performed using focus groups, and the data was analysed using a thematic analysis. The data was also analysed to determine if there were overlaps between the literature and the stakeholders’ concerns and attitudes towards computing ethics.

Findings

The results of the focus group analysis show a mixture of overlapping concerns between the different groups, as well as some concerns that are unique to each of the specific groups. All groups stressed the importance of data as a key topic in computing ethics. This includes concerns around the accuracy, completeness and representativeness of data sets used to develop computing applications. Academics were concerned with the best ways to teach computing ethics to university students. Industry professionals believed that a lack of diversity in software teams resulted in important questions not being asked during design and development. Citizens discussed at length the negative and unexpected impacts of social media applications. These are all topics that have gained broad coverage in the literature.

Social implications

In recent years, the impact of ICT on society and the environment at large has grown tremendously. From this fast-paced growth, a myriad of ethical concerns have arisen. The analysis aims to shed light on what a diverse group of stakeholders consider the most important social impacts of technology and whether these concerns are reflected in the literature on computing ethics. The outcomes of this analysis will form the basis for new teaching content that will be developed in future to help illuminate and address these concerns.

Originality/value

The multi-stakeholder analysis provides individual and differing perspectives on the issues related to the rapidly evolving discipline of computing ethics.
Intellectual capital, knowledge management and competitive advantage: a resource orchestration perspective
Authors: Rehman Shafique Ur , Bresciani Stefano , Ashfaq Khurram , Alam Gazi Mahabubul
Published: September 2021

Purpose

This study aims to examine the influence of intellectual capital and knowledge management on competitive advantage with the mediation role of innovativeness in the Pakistan manufacturing industry. Moreover, differentiation strategy is used as a moderator between innovativeness and competitive advantage.

Design/methodology/approach

The data was collected from 387 manufacturing firms in Pakistan through questionnaires. Purposive random sampling was used to collect data. The partial least square structural equation modeling (PLS-SEM) method is used to test the proposed hypotheses. This study followed multiple regression analyses to see the influence of intellectual capital, knowledge management, innovativeness and differentiation strategy on competitive advantage.

Findings

The results elucidate that intellectual capital and knowledge management significantly determines innovativeness and competitive advantage. Moreover, innovativeness significantly mediates between intellectual capital, knowledge management and competitive advantage. Besides, innovativeness significantly determines competitive advantage. Business strategies significantly lead to competitive advantage. Finally, business strategies significantly moderate between innovativeness and competitive advantage.

Practical implications

The research highlight an important issue that how manufacturing sector management uses intellectual capital, knowledge management, innovativeness and business strategies in determining competitive advantage. Besides, it covers the gap and assists the management of the manufacturing sector to focus on exogenous constructs to examine competitive advantage.

Originality/value

This study adds value to the body of knowledge by focusing on predictors that impact competitive advantage. This initial study determines intellectual capital and knowledge management influence on competitive advantage and innovativeness as a mediator by using resource orchestration theory. Moreover, differentiation strategy is used as moderating variable between innovativeness and competitive advantage. The managers, students and researchers can obtain benefits from this study.
Behavioral operations effect of fairness and unfairness concern in the decision of the supply chain production-inventory system
Authors: Fu Kaifang , Chen Zhixiang , Sarker Bhaba R.
Published: September 2021

Purpose

The purpose of this paper is to investigate the behavioral operations effect in production inventory decision of supply chain consisting of one manufacturer and one buyer, and analyze how the unfairness concerns impact the decision of production inventory in a supply chain system.

Design/methodology/approach

First, a model without the buyer’s unfairness concern is established; then, advantage unfairness concern and disadvantage unfairness concern behavior of buyer are taken into account in the production inventory system. The authors analyze how advantage unfairness concern and disadvantage unfairness concern impact the optimal decisions and channel coordination.

Findings

The result shows several important conclusions. First, the buyer’s optimal ordering quantity and expected utility show opposing trend when the buyer has advantage unfairness concern. Second, the stronger bargaining power of the manufacturer results in an increasing buyer’s optimal ordering quantity under the advantage unfairness concern case, but decreasing under the disadvantage unfairness concern case. Third, the supply chain production-inventory can be coordinated under advantage unfairness concern case, but cannot be coordinated under disadvantage unfairness concern.

Practical implications

The study can provide to practitioners with important implications that when the vendor or the buyer in supply chain wants to make the decision of inventory replenishment, taking unfairness concerns into account will lead to different results. Therefore, to effectively improve the operations performance of supply chain, partners of the supply chain should not only care about their own interest, but also need to consider the fairness concern of the other partner, reflecting the cooperation consciousness of supply chain management.

Originality/value

This paper contributes to the new field of creative management–behavioral operations, offering managerial implications for the decision and optimization of supply chain production-inventory problem.
Managing quality of cost information in clinical costing: evidence across seven countries
Authors: Chapman Christopher S. , Kern Anja , Laguecir Aziza , Doyle Gerardine , Angelé-Halgand Nathalie , Hansen Allan , Hartmann Frank G.H. , Mateus Céu , Perego Paolo , Winter Vera , Quentin Wilm
Published: September 2021

Purpose

The purpose is to assess the impact of clinical costing approaches on the quality of cost information in seven countries (Denmark, England, France, Germany, Ireland, the Netherlands and Portugal).

Design/methodology/approach

Costing practices in seven countries were analysed via questionnaires, interviews and relevant published material.

Findings

Although clinical costing is intended to support a similar range of purposes, countries display considerable diversity in their approaches to costing in terms of the level of detail contained in regulatory guidance and the percentage of providers subject to such guidance for tariff setting. Guidance in all countries involves a mix of costing methods.

Research limitations/implications

The authors propose a two-dimensional Materiality and Quality Score (2D MAQS) of costing systems that can support the complex trade-offs in managing the quality of cost information at both policy and provider level, and between financial and clinical concerns.

Originality/value

The authors explore the trade-offs between different dimensions of the quality (accuracy, decision relevance and standardization) and the cost of collecting and analysing cost information for disparate purposes.
Consumer responses to environmental corporate social responsibility and luxury
Authors: Schill Marie , Godefroit-Winkel Delphine
Published: September 2021

Purpose

Drawing on the stimulus–organism–response (S-O-R) framework, this study presents an original model examining the influence of environmental corporate social responsibility (CSR), luxury and service quality dimensions on consumer emotions that in turn influence consumer attitudes towards the shopping mall.

Design/methodology/approach

Structural equation modeling is applied to data from a sample of 706 French consumers to test the hypotheses.

Findings

The results highlight the importance of environmental CSR, luxury and service quality dimensions as stimuli influencing positively consumer emotions, which in turn positively influence consumer attitudes.

Research limitations/implications

This study extends prior work in the field of services marketing and the S-O-R framework while considering environmental CSR, luxury and service quality dimensions as relevant stimuli. It further contributes to the literature of the shopping mall while examining relevant and unexplored antecedents to consumer emotions.

Practical implications

This paper provides tailored recommendations for shopping mall managers. It details how managers can use environmental CSR and luxury dimensions besides service quality as relevant stimuli in their positioning strategies to enhance consumer emotions and attitudes.

Originality/value

This study provides novel insights into shopping mall dimensions, i.e. environmental CSR, luxury and service quality, influencing consumer responses.
Impact of AI regulation and governance on online personal data sharing: from sociolegal, technology and policy perspective
Authors: Chatterjee Sheshadri , N.S. Sreenivasulu
Published: September 2021

Purpose

The purpose of this study is to investigate the impacts of regulations and governance of artificial intelligence (AI) on personal data sharing (PDS) in the context of sociolegal, technology and policy perspective.

Design/methodology/approach

With the help of theories and literature review, some hypotheses have been formulated and a conceptual model has been developed. These are statistically validated. The validated model has been compared again using impact of regulation and governance of AI as a moderator. The validation has been done using survey by PLS analysis.

Findings

The study found that there is a high level of positive impact of regulation and governance of AI on the online PDS by the users.

Research limitations/implications

This study has provided a statistical model which can provide the antecedents of PDS by the online users with the impact of AI regulation and governance as a moderator. The proposed model has explanative power of 92%.

Practical implications

The study highlighted that there is a necessity of having appropriate AI regulations so that users could share their personal data online without any hesitation. Policymakers and legal fraternity should work together to formulate a comprehensive AI regulation and governance framework.

Originality/value

To the best of the authors’ knowledge, there is no study on the impact of AI regulation and governance towards PDS and how it impacts on the security, privacy and trust of the online users.
Development and validation of multi-factor employee engagement measuring instrument: a formative measurement model
Authors: Kumar Puneet , Padhi Nayantara
Published: September 2021

Purpose

The purpose of this study is to bring about an exhaustive measurement instrument of employee engagement and validate the same in Indian settings.

Design/methodology/approach

This descriptive and cross-sectional study initiates with reviewing the available literature in the field of employee engagement to identify factors affecting and the corresponding items defining them. Following the discussion with experts and industry professionals, an instrument was, thus, obtained to administer the primary data from employees working in public and private power companies in India. The study used Partial Least Square-Structural Equation Modeling (PLS-SEM) 3 to demonstrate employee engagement as a first-order reflective and second-order formative construct. Thereafter, reliability and convergent validity were assessed to validate the instrument.

Findings

This paper conceptualized employee engagement as a multi-factor construct (nine in numbers). The factors are “Respect”, “Supervisor's support and recognition”, “Growth and development”, “Creative and challenging job”, “Job significance”, “Perceived self-worth”, “performance evaluation and recognition” and “Organizational bureaucracy”. These factors are exhaustive and collectively define employee engagement. Distortion or omission in any of these items may distort the nature of construct as well.

Originality/value

Previous studies have defined the concept of employee engagement as unidimensional and thus observe serious lacunas. This study identified employee engagement as a multi-factor construct that incorporates the exhaustive nature of the organizational setting. Not only this study adds value to the existing body of knowledge in the field of employee engagement but also specify the measurement model as a formative one concerning employee engagement.
Titanium fabricated by selective laser melting: microstructure, wear and corrosion behavior in different orientations
Authors: Hu Yabao , Chen Hanning , Liang Xiaodan , Lei Jianbo
Published: September 2021

Purpose

Studies on titanium implants have shown that the mechanical properties of the parts are affected by the microstructure characteristic derived from the manufacturing process. The properties of different orientations of specimens under the same process parameters will be different, which should be considered in the application of bone implants. This paper aims to understand the influence of microstructure on micro-hardness, wear and corrosion resistance in different orientations.

Design/methodology/approach

The authors manufactured titanium parts and carried out micro-hardness, wear tests and electrochemical corrosion of different orientations under the same process conditions. Then, finally studied the evolution mechanism of the microstructure in different orientations and its influence mechanism on wear and corrosion mechanism.

Findings

The melting method makes the grains on the surface in XY orientation finer. The wear mechanism of XY orientation is abrasive wear, that of XZ and YZ orientations are adhesive wear. During corrosion, XY orientation forms a stable passivation film earlier. Compared with XZ and YZ orientations, XY orientation has higher micro-hardness, better wear and corrosion resistance.

Originality/value

In this paper, the microstructure, wear and corrosion resistance of selective laser melted parts were discussed and the differences in different orientations under the same experimental conditions were discussed. The evolution mechanism of the microstructure in different orientations and its influence mechanism on wear mechanism and corrosion mechanism was studied. The mechanical anisotropy of selective laser melted components was discussed.
Closer together or further apart? Values of hero generations Y and Z during crisis
Authors: Azimi Shabnam , Andonova Yana , Schewe Charles
Published: September 2021

Purpose

Drawing upon cohort theory, the age-period-cohort framework and the portrait value system, this paper aims to examine differences in basic human values between generations Y and Z as they are shaped by recent major events (most importantly the COVID-19 pandemic).

Design/methodology/approach

Hypothesized differences between values of generation Y and Z were tested using a content analysis of recent articles (Study 1) and an online survey through a prolific crowdsourcing website (Study 2).

Findings

This research finds that while both generations value universalism and benevolence, Generation Y is more likely to conform and follow traditions while Generation Z values stimulation, hedonism and achievement more. The top two COVID-19 concerns for both groups were the health of others and financial security. Generation Y is more concerned about the economy while Generation Z is more worried about uncertainty in their future.

Research limitations/implications

This paper provides insight into how the current environmental crisis has shaped the values of generations Y and Z and offers an understanding of the similarities and differences in values between these two generations.

Practical implications

The findings have direct implications for the design of products/services and for the creation of effective marketing communications to reach these two consumer groups.

Originality/value

This research is novel in identifying the basic human values of generations Y and Z as they are shaped by recent events such as the most recent economic recession and COVID-19.