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Article
Publication date: 24 January 2025

Qinqin Wu, Sikandar Ali Qalati, Kayhan Tajeddini and Haijing Wang

This research aims to investigate the impact of artificial intelligence (AI) adoption on the innovation dynamics of Chinese manufacturing enterprises, with a specific focus on the…

36

Abstract

Purpose

This research aims to investigate the impact of artificial intelligence (AI) adoption on the innovation dynamics of Chinese manufacturing enterprises, with a specific focus on the intricate interplay with the labor structure.

Design/methodology/approach

Leveraging panel data of listed companies from 2010 to 2022, this study employs the two-way fixed effects (TWFE) model to examine the influence of AI adoption on Chinese manufacturing companies' innovativeness. Firm-level AI adoption is measured by constructing a three-dimensional attention, application and absorption index.

Findings

The results indicate that (1) AI adoption has a positive impact on both internal innovation capability and external innovation interaction, (2) AI adoption has dual effects on the education and skill structure of labor in manufacturing enterprises and (3) enterprises with a highly educated and skilled workforce exhibit a stronger influence of AI adoption on innovativeness.

Originality/value

This research contributes to the academic and practical discourse by unveiling the underlying mechanisms of AI affecting innovation and introducing a new measurement of the AI adoption index. The findings emphasize the need for a highly educated and skilled workforce to navigate the complexities of AI-driven innovation, offering valuable theoretical and practical implications for policymakers and enterprises.

Details

Industrial Management & Data Systems, vol. 125 no. 3
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 29 July 2014

Xiaoning Li, Xinbo Liao, Xuerui Tan and Haijing Wang

The purpose of this paper is to evaluate resource configuration and service ability in hospital on public private partnership (PPP) model (Chaonan Minsheng Hospital of Guangdong…

673

Abstract

Purpose

The purpose of this paper is to evaluate resource configuration and service ability in hospital on public private partnership (PPP) model (Chaonan Minsheng Hospital of Guangdong Province), supplying decision-making reference for participants of hospital on PPP model.

Design/methodology/approach

Four model of grey relational analysis (GRA) (Deng's correlation degree, grey absolute correlation degree, grey relative correlation degree and grey comprehensive correlation degree) are applied to evaluate resource configuration and service ability, a total of 11 indicators of hospital on PPP model public hospital and private hospital from 2007 to 2011.

Findings

The paper finds that different GRA models have different results when the paper applied them to evaluate resource configuration and service ability in hospital on PPP model. More than 60 per cent indicators of resource configuration (total six indicators) and service ability (total six indicators) are assessed as “hospital on PPP model ≻ public hospital” or “hospital on PPP model≻ private hospital” from three models of Deng's correlation degree, grey absolute correlation degree and grey comprehensive correlation degree.

Practical implications

Evaluation of resource configuration and service ability for hospital on PPP model with GRA makes results quantified objective and provides reference for decision making and management. GRA makes the comparison of resource configuration and service ability between hospital on PPP model and other model hospitals becoming possible.

Originality/value

The shortcoming for data analysis method of “large sample” is overcome and data analysis method of “small sample” is realized by using GRA, which broaden the method of evaluating hospital on PPP model.

Details

Grey Systems: Theory and Application, vol. 4 no. 2
Type: Research Article
ISSN: 2043-9377

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Article
Publication date: 24 August 2023

Haijing Sun, Jianing Cui, He Wang, Shuai Yang, Souavang Xaikoua, Yong Tan, Xin Zhou, Baojie Wang and Jie Sun

The purpose of this paper is to study the effect of temperature on Zn–Ni alloys in ChCl–Urea.

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Abstract

Purpose

The purpose of this paper is to study the effect of temperature on Zn–Ni alloys in ChCl–Urea.

Design/methodology/approach

Based on cyclic voltammetry experiments, the deposition behavior and kinetics of the Zn–Ni alloy are studied. The nucleation process of the Zn–Ni alloy is studied in detail via chronoamperometry experiments. The effects of the deposition temperature on the microstructure, Ni content and phase composition of Zn–Ni alloy coatings are investigated via scanning electron microscopy and X-ray diffraction (XRD) combined with classical thermodynamics.

Findings

The results show that with increasing temperature, the reduction peak shifts toward a more positive electric potential, which is beneficial for the co-electric deposition process, and the diffusion coefficient is estimated. With increasing temperature, the nucleation process of the Zn–Ni alloy becomes a three-dimensional instantaneous nucleation, the typical kinetic parameters are determined using the standard 3D growth proliferation control model and the Gibbs free energy is estimated. The Zn–Ni alloy coatings are prepared via normal co-deposition. With increasing temperature, the degree of crystallinity increases, the coating gradually becomes uniform and compact and the XRD peak intensity increases.

Originality/value

The nucleation process of the Zn–Ni alloy at different temperatures is analyzed. The diffusion coefficient D and Gibbs free energy are calculated. The contribution of the three processes at different temperatures is analyzed. The effect of temperature on the morphology of the Zn–Ni alloy coatings is studied.

Details

Anti-Corrosion Methods and Materials, vol. 70 no. 6
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 25 August 2023

Xin Zhou, Wenbin Zhou, Yang Zheng Zhang, Meng-Ran Li, Haijing Sun and Jie Sun

This paper aims to study the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass.

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Abstract

Purpose

This paper aims to study the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass.

Design/methodology/approach

The authors performed weight loss experiments, electrochemical experiments including the polarization curve and electrochemical impedance spectrum, corrosion morphology observation using scanning electron microscope (SEM) and atomic force microscope (AFM) and surface composition analysis via X-ray photoelectron spectroscopy (XPS) to analyze the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass by using quantum chemical calculation (Gaussian 09), molecular dynamics simulation (M-S) and Langmuir adsorption isotherm.

Findings

According to the results, imidazole-pyridine and its derivatives were found to be modest or moderately mixed corrosion inhibitors; moreover, they were spontaneously adsorbed on the metal surface in a single-layer, mixed adsorption mode.

Originality/value

The corrosion inhibition properties of pyrazolo-[1,2-a]pyridine and its derivatives on brass in sulfuric acid solution were analyzed through weight loss and electrochemical experiments. Moreover, SEM and AFM were simultaneously used to observe the corrosion appearance. Furthermore, XPS was used to analyze the surface. Then, Gaussian 09 and M-S were combined along with the Langmuir adsorption isotherm to investigate the corrosion inhibition mechanism of imidazole-[1,2-a]pyridine and its derivatives.

Details

Anti-Corrosion Methods and Materials, vol. 70 no. 6
Type: Research Article
ISSN: 0003-5599

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Article
Publication date: 24 January 2020

Jeannette Paschen, Matthew Wilson and Karen Robson

This study aims to investigate motivations and human values of everyday consumers who participate in the annual day of consumption restraint known as Buy Nothing Day (BND). In…

2107

Abstract

Purpose

This study aims to investigate motivations and human values of everyday consumers who participate in the annual day of consumption restraint known as Buy Nothing Day (BND). In addition, this study demonstrates a hybrid content analysis method in which artificial intelligence and human contributions are used in the data analysis.

Design/methodology/approach

This research uses a hybrid method of content analysis of a large Twitter data set spanning three years.

Findings

Consumer motivations are categorized as relating to consumerism, personal welfare, wastefulness, environment, inequality, anti-capitalism, financial responsibility, financial necessity, health, ethics and resistance to American culture. Of these, consumerism and personal welfare are the most common. Moreover, human values related to “openness to change” and “self-transcendence” were prominent in the BND tweets.

Research limitations/implications

This research demonstrates the effectiveness of a hybrid content analysis methodology and uncovers the motivations and human values that average consumers (as opposed to consumer activists) have to restrain their consumption. This research also provides insight for firms wishing to better understand and respond to consumption restraint.

Practical implications

This research provides insight for firms wishing to better understand and respond to consumption restraint.

Originality/value

The question of why everyday consumers engage in consumption restraint has received little attention in the scholarly discourse; this research provides insight into “everyday” consumer motivations for engaging in restraint using a hybrid content analysis of a large data set spanning over three years.

Details

European Journal of Marketing, vol. 54 no. 2
Type: Research Article
ISSN: 0309-0566

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Book part
Publication date: 22 November 2019

Vasilikie Demos, Marcia Texler Segal and Kristy Kelly

Departing from an online interactive Gender Café on the topic of Knowledge Management (KM), jointly hosted by a UN agency and the Society of Gender Professionals, this chapter…

Abstract

Departing from an online interactive Gender Café on the topic of Knowledge Management (KM), jointly hosted by a UN agency and the Society of Gender Professionals, this chapter seeks to provide gender practitioners and others with practical examples of how to “gender” KM in international development. Through analyzing the travel of feminist ideas into the field of KM with inspiration from Barbara Czarniawska’s and Bernard Joerge’s (1996) theory of the travel of ideas, the chapter explores the spaces, limits, and future possibilities for the inclusion of feminist perspectives. The ideas and practical examples of how to do so provided in this chapter originated during the café, by the participants and panellists. The online Gender Café temporarily created a space for feminist perspectives. The data demonstrate how feminist perspectives were translated into issues of inclusion, the body, listening methodologies, practicing reflection, and the importance to one’s work of scrutinizing underlying values. However, for the feminist perspective to be given continuous space and material sustainability developing into an acknowledged part of KM, further actions are needed. The chapter also reflects on future assemblies of gender practitioners, gender scholars and activists, recognizing the struggles often faced by them. The chapter discusses strategies of how a collective organizing of “outside–inside” gender practitioners might push the internal work of implementing feminist perspectives forward.

Details

Gender and Practice: Knowledge, Policy, Organizations
Type: Book
ISBN: 978-1-83867-388-8

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Expert briefing
Publication date: 21 July 2015

The maritime dispute between China and Malaysia in the South China Sea.

Details

DOI: 10.1108/OXAN-DB201098

ISSN: 2633-304X

Keywords

Geographic
Topical
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Article
Publication date: 31 May 2011

Wang Xinlong and Shen Liangliang

In order to accomplish real‐time alignment of Shipborne strapdown inertial navigation system (SINS) on moving bases, a novel solution method of utilizing neural networks for rapid…

351

Abstract

Purpose

In order to accomplish real‐time alignment of Shipborne strapdown inertial navigation system (SINS) on moving bases, a novel solution method of utilizing neural networks for rapid transfer alignment of Shipborne SINS was investigated.

Design/methodology/approach

The system error state equations and measurement equations of the Shipborne transfer alignment were established. Based on the nonlinear and time‐variant SINS model on moving bases, a neural network learning algorithm based on Kalman filtering was presented, and the methods of constructing and training of neural networks input‐output sample pairs suitable for Shipborne SINS were proposed.

Findings

Velocity and attitude errors between the master and slave inertial navigation system (INS) are chosen as network's inputs, and the information of sample pairs is affluent, which can advance the stability and generalization of the neural networks. The neural networks algorithms based on Kalman filtering not only have the self‐learning ability, but also remain recursive optimal estimation capability of Kalman filtering. Through the introducing of the local level trajectory frame, the trained neural networks can be independent on a ship heading, and only dependent on the relative position errors between master with slave INS and the inertial sensor errors.

Originality/value

This article presents an innovative solution method of utilizing neural networks for rapid transfer alignment of Shipborne SINS.

Details

Engineering Computations, vol. 28 no. 4
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 21 September 2020

Muhammad Shujahat, Minhong Wang, Murad Ali, Anum Bibi, Shahid Razzaq and Susanne Durst

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. Although personal knowledge management plays an…

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Abstract

Purpose

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. Although personal knowledge management plays an important role in organizational knowledge management, empirical research on the practices for its application is underdeveloped. This study aims to examine the role of idiosyncratic job-design practices (i.e. job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) in cultivating personal knowledge management among knowledge workers in organizations, to increase their productivity and safeguard the organization against knowledge loss arising from knowledge workers’ interfirm mobility.

Design/methodology/approach

Data were collected from 221 knowledge workers pursuing various knowledge-intensive jobs through a questionnaire survey and were analysed using partial least squares modelling.

Findings

The results demonstrated that three job-design practices (job definition, innovation as a job requirement and lifelong learning orientation) have a positive impact on personal knowledge management among knowledge workers and thus improve their productivity. However, job autonomy can affect personal knowledge management negatively.

Research limitations/implications

The findings are confined to a specific context and should be replicated across different contexts for better generalizability in future research.

Practical implications

Organizational managers should pay attention to (re)designing knowledge-intensive jobs to cultivate personal knowledge management by clearly outlining job responsibilities, offering opportunities to add relevant job activities and drop irrelevant ones, and making innovation and lifelong learning a formal job requirement. In addition, job autonomy should be judiciously provided along with sufficient social and network support to avoid lost opportunities in knowledge creation and sharing, and should be linked to job responsibilities and performance appraisals to avoid negative effects.

Originality/value

The high turnover rate of knowledge workers presents a challenge to both organizational and personal knowledge management. This study contributes to the literature by addressing the research gap in two aspects. Firstly, based on Drucker’s theory, this study identifies four idiosyncratic job-design practices (job definition, job autonomy, innovation as a job requirement and lifelong learning orientation) that reflect the distinctive characteristics of knowledge-intensive work. Secondly, this study examines whether and how these practices can cultivate personal knowledge management among knowledge workers, which can support their productivity.

Details

Journal of Knowledge Management, vol. 25 no. 4
Type: Research Article
ISSN: 1367-3270

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Article
Publication date: 9 July 2018

Luisa De Vita and Antonella Magliocco

The purpose of this paper is to provide a first impact assessment of the Italian quota law in order to explore whether “gender equality by law” contributes to redefining, albeit…

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Abstract

Purpose

The purpose of this paper is to provide a first impact assessment of the Italian quota law in order to explore whether “gender equality by law” contributes to redefining, albeit in part, consolidating and establishing positions of power and decision making. The paper analyses these dynamics by focusing on a specific economic sector, the banking sector. The analysis strives to determine: whether binding quotas are giving rise to an apparent enforcement by building up new distortionary equilibria (such as new forms of horizontal segregation); what extent the financial crisis has impacted on the rhetoric of female representation, and whether it has pushed towards a “regenerative” organizational change aimed at achieving a more inclusive and egalitarian image.

Design/methodology/approach

The paper is organized as follows. Section 2 reviews the theoretical and empirical debate on gender diversity and quota impact. Section 3 reports macro and micro data on the italian system; Section 4 describes the Italian banking system and gives a first impact assessment on Italian banks of the mandatory gender quotas in Italy (the so-called “Golfo-Mosca law,” named after MPs who proposed the law); some qualitative considerations are carried out on the reactions of Italian banks to the financial crisis in terms of “bridge policies” aimed at corresponding to a higher demand of customer satisfaction and fairness. Section 5 concludes and summarizes the finding of the study.

Findings

The Italian banking system is not so dramatically ranked among the EU countries as in the recent past. The gender rebalance in management bodies could be considered rather satisfying. If we compare ten-year-old findings, the number of women on board of directors has tripled. But data clearly show a dichotomy due to significant differences between listed and non-listed banks. In non-listed banks, women are still relegated to an under-represented position, reaching only 13 percent on boards of directors (as against 33 percent in listed banks). The data confirm the results found in non-financial sector that women are significantly better represented on audit boards. In accordance with all previous studies, no relevant changes can be noticed on key-decision roles: no CEOs or Directors general are women in listed banks, and women are always more represented in non-executive functions.

Originality/value

The paper analyses the law experience in Italy as a significant case study by proving that rules such as temporary binding gender quotas (introduced by law in 2011) can be useful, but not always enough to remove blocking or distortive factors in organizational ladders.

Details

International Journal of Sociology and Social Policy, vol. 38 no. 7-8
Type: Research Article
ISSN: 0144-333X

Keywords

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