Search results

1 – 10 of 142
Per page
102050
Citations:
Loading...
Available. Open Access. Open Access
Article
Publication date: 11 May 2022

Hui Wang, Qunzhan Li, Wei Liu, Chuang Wang and Tongtong Liu

The traction cable is paralleled with the existing traction network of electrified railway through transverse connecting line to form the scheme of long distance power supply for…

623

Abstract

Purpose

The traction cable is paralleled with the existing traction network of electrified railway through transverse connecting line to form the scheme of long distance power supply for the traction network. This paper aims to study the scheme composition and power supply distance (PSD) of the scheme.

Design/methodology/approach

Based on the structure of parallel traction network (referred to as “cable traction network (CTN)”), the power supply modes (PSMs) are divided into cable + direct PSM and cable + autotransformer (AT) PSM (including Japanese mode, French mode and new mode). Taking cable + Japanese AT PSM as an example, the scheme of long distance power supply for CTN under the PSMs of co-phase and out-of-phase power supply are designed. On the basis of establishing the equivalent circuit model and the chain circuit model of CTN, taking the train working voltage as the constraint condition, and based on the power flow calculation of multiple train loads, the calculation formula and process for determining the PSD of CTN are given. The impedance and PSD of CTN under the cable + AT PSM are simulated and analyzed, and a certain line is taken as an example to compare the scheme design.

Findings

Results show that the equivalent impedance of CTN under the cable + AT PSM is smaller, and the PSD is about 2.5 times of that under the AT PSM, which can effectively increase the PSD and the flexibility of external power supply location.

Originality/value

The research content can effectively improve the PSD of traction power supply system and has important reference value for the engineering application of the scheme.

Details

Railway Sciences, vol. 1 no. 1
Type: Research Article
ISSN: 2755-0907

Keywords

Available. Open Access. Open Access
Article
Publication date: 5 September 2016

Lu Chen, Wei Zheng, Baiyin Yang and Shuaijiao Bai

The purpose of this paper is to investigate the forces driving organizational innovation, particularly CEO transformational leadership as it affects external and internal social…

19647

Abstract

Purpose

The purpose of this paper is to investigate the forces driving organizational innovation, particularly CEO transformational leadership as it affects external and internal social capital in top management teams.

Design/methodology/approach

Survey questionnaires were administered to 90 Chinese top management teams. Structural equation modeling was used to test the hypothesized relationships.

Findings

Both internal and external social capital mediated the relationship between transformational leadership and organizational innovation.

Practical implications

Organizations should strengthen internal and external capital of top management teams to reap maximal innovation outcomes from transformational leadership.

Originality/value

The findings contribute to the transformational leadership, social capital, and innovation literature first by showing how leadership influences innovation through largely neglected mechanisms – internal and external social capital. Second, a social capital focus challenges the tacit assumption that transformational leadership has only internal influences by showing that it potentially spills over to the external domain.

Details

Leadership & Organization Development Journal, vol. 37 no. 7
Type: Research Article
ISSN: 0143-7739

Keywords

Available. Open Access. Open Access
Article
Publication date: 5 April 2022

Burcu Kartal, Mehmet Fatih Sert and Melih Kutlu

This study aims to provide preliminary information to the investor by determining which indices co-movement, with the data mining method.

1289

Abstract

Purpose

This study aims to provide preliminary information to the investor by determining which indices co-movement, with the data mining method.

Design/methodology/approach

In this context, data sets containing daily opening and closing prices between 2001 and 2019 have been created for 11 stock market indexes in the world. The association rule algorithm, one of the data mining techniques, is used in the analysis of the data.

Findings

It is observed that the US stock market indices take part in the highest confidence levels between association rules. The XU100 stock index co-movement with both the European stock market indices and the US stock indices. In addition, the Hang Seng Index (HSI) (Hong Kong) takes part in the association rules of all stock market indices.

Originality/value

The important issue for data sets is that the opening/closing values of the same day or the previous day are taken into account according to the open or closed status of other stock market indices by taking the opening time of the stock exchange index to be created. Therefore, data sets are arranged for each stock market index, separately. As a result of this data set arranging process, it is possible to find out co-movements of the stock market indexes. It is proof that the world stock indices have co-movement, and this continues as a cycle.

Details

Journal of Economics, Finance and Administrative Science, vol. 27 no. 54
Type: Research Article
ISSN: 2218-0648

Keywords

Available. Open Access. Open Access
Article
Publication date: 26 August 2021

Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga and Ranjita Pandey

The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data.

3868

Abstract

Purpose

The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data.

Design/methodology/approach

Classical AMIGOS data set which comprises of multimodal records of varying lengths on mood, personality and other physiological aspects on emotional response is used for empirical assessment of the proposed overlapping sliding window (OSW) modelling framework. Two features are extracted using Fourier and Wavelet transforms: normalised band power (NBP) and normalised wavelet energy (NWE), respectively. The arousal, valence and dominance (AVD) emotions are predicted using one-dimension (1D) and two-dimensional (2D) convolution neural network (CNN) for both single and combined features.

Findings

The two-dimensional convolution neural network (2D CNN) outcomes on EEG signals of AMIGOS data set are observed to yield the highest accuracy, that is 96.63%, 95.87% and 96.30% for AVD, respectively, which is evidenced to be at least 6% higher as compared to the other available competitive approaches.

Originality/value

The present work is focussed on the less explored, complex AMIGOS (2018) data set which is imbalanced and of variable length. EEG emotion recognition-based work is widely available on simpler data sets. The following are the challenges of the AMIGOS data set addressed in the present work: handling of tensor form data; proposing an efficient method for generating sufficient equal-length samples corresponding to imbalanced and variable-length data.; selecting a suitable machine learning/deep learning model; improving the accuracy of the applied model.

Details

Applied Computing and Informatics, vol. 21 no. 1/2
Type: Research Article
ISSN: 2634-1964

Keywords

Available. Open Access. Open Access
Article
Publication date: 26 November 2024

Szufang Chuang, Mehran Shahhosseini, Maria Javaid and Greg G. Wang

Based on the sociotechnical systems theory, we examined the human–technology interactions in the context of future works conditioned by machine learning (ML) and artificial…

471

Abstract

Purpose

Based on the sociotechnical systems theory, we examined the human–technology interactions in the context of future works conditioned by machine learning (ML) and artificial intelligence (AI). Skills needed to support career sustainability and the future of the workforce, particularly for the middle-skilled workforce in the contemporary United States America (USA) context, were also studied.

Design/methodology/approach

We conducted a scenario analysis to demonstrate the potential roles that human resource professionals may perform to fill the skill gaps given their expertise in the shaping and skilling processes.

Findings

Assessing the success of the integration of AI and ML into the middle-skilled workforce requires a multi-faceted approach that considers performance metrics, cost-effectiveness, job satisfaction, environmental impact and innovation. Employees with AI skills can be more competitive in the workforce and forward to high-skilled positions.

Research limitations/implications

Empirical research and related studies focusing on evaluations of reskilling and upskilling processes and outcomes would support career sustainability and the future development of middle-skilled workers.

Practical implications

Through a proactive strategic career development plan with AI integration, middle-skilled workers may enhance their career sustainability and be prepared for future higher-skilled work.

Social implications

The economic downturn caused by technology-induced unemployment may be addressed by unleashing middle-skilled workforce potentials for future work created by AI and robotics and sustaining economic competitiveness.

Originality/value

This article offers important implications for human resource development theory-minded researchers and scholarly practitioners.

Details

Journal of Work-Applied Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2205-2062

Keywords

Available. Open Access. Open Access
Article
Publication date: 25 January 2023

Elina Lassila, Eija-Liisa Heikka and Satu Nätti

The purpose of this study is to examine the role of interaction in supporting value co-creation during pre-purchase customer journey stages when selling professional B-to-B…

2440

Abstract

Purpose

The purpose of this study is to examine the role of interaction in supporting value co-creation during pre-purchase customer journey stages when selling professional B-to-B services. First, value co-creation in professional service firms (PSFs) is reviewed, and, second, the role of interaction in the different stages of a customer’s pre-purchase journey is explored, specifically in the context of B-to-B human resource management services.

Design/methodology/approach

Qualitative, semi-structured interview data was collected from potential B2B customers of a PSF in question, providing a broad coverage of prospective clients in architecture, engineering and IT sector.

Findings

In general, the findings of this study indicate that interaction plays a crucial role in pre-purchasing stages of a customer journey. In particular, these findings form understanding of how various interaction channels and content support PSF’s ability to co-create value with its prospects.

Originality/value

The existing research tends to concentrate on how value is created for existing customers, and far less attention has been paid to the perspective of prospects. This study contributes theoretically by providing novel insights into the current literature on value co-creation in PSFs by providing an understanding of how interactions in pre-purchase phases affect the co-creation of value from the perspective of prospects, which is a less researched viewpoint. Empirically, this study offers managers much-needed, context-specific knowledge of PSFs by comparing differences and pulling together similarities from each customer journey stage of PSF prospects.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 13
Type: Research Article
ISSN: 0885-8624

Keywords

Available. Open Access. Open Access
Article
Publication date: 14 July 2023

Mehdi Khademi-Gerashi, Fatemeh Akhgari, Svenja Damberg and Fatemeh Moradi

In this study, the authors develop a path model and investigate the effect of pandemic-oriented customer mistreatment on service sabotage through the lens of self-presentation…

1676

Abstract

Purpose

In this study, the authors develop a path model and investigate the effect of pandemic-oriented customer mistreatment on service sabotage through the lens of self-presentation theory. Moreover, the authors question the role of service climate as a moderator of the relationship between service sabotage and service performance.

Design/methodology/approach

Data were collected via a survey of 165 F&B frontline employees in restaurants in Iran. The hypotheses are examined using confirmatory factor analysis, structural equation modeling and ordinary least squares regression.

Findings

The findings reveal that POCM has a substantial and positive effect on service sabotage, and service climate mitigates the effect of service sabotage on service performance.

Practical implications

The study introduces and conceptually defines the term POCM. Furthermore, the authors apply the self-presentation theory as the overarching theory to explain underlying conditions in customer mistreatment and service sabotage. Moreover, although prior literature has described the saboteur–customer relationship as a one-line interaction, this study contributes to employee sabotage as a multi-linear transaction.

Originality/value

In this study, the authors identify new perspectives on the dark side of hospitality services in crises, such as the COVID-19 pandemic. The authors argue that pandemic-induced changes are essential not simply because they change customers’ moods and lower their patience threshold, but they further provoke ostentatious behaviors in saboteur–customer relations. These findings shed new light on the literature and provide managerial implications for enhancing hospitality performance.

Details

International Hospitality Review, vol. 38 no. 2
Type: Research Article
ISSN: 2516-8142

Keywords

Available. Open Access. Open Access
Article
Publication date: 19 September 2018

Minna Saunila, Juhani Ukko and Tero Rantala

The purpose of this paper is to explore the different human factor characteristics that are emphasized when co-creating value through digital service capabilities.

10591

Abstract

Purpose

The purpose of this paper is to explore the different human factor characteristics that are emphasized when co-creating value through digital service capabilities.

Design/methodology/approach

Empirical data are gathered from two small companies that deliver digital services and products in business-to-business markets.

Findings

The study highlights the role and importance of human factors as reflected in employees’ customer orientation while delivering digital service capabilities. The role of human factors also changes during the digital service production process.

Originality/value

Developing digital service capability is positively associated with value co-creation, but it requires new skills: firms need to evaluate their mechanisms for supporting continuous learning about the properties of digital technologies. To the authors’ knowledge, this is the first study to focus on the role of human factors in in developing digital service capabilities.

Details

Information Technology & People, vol. 32 no. 3
Type: Research Article
ISSN: 0959-3845

Keywords

Available. Open Access. Open Access
Article
Publication date: 16 July 2024

Alessandro Carretta, Doriana Cucinelli, Lucrezia Fattobene, Lucia Leonelli and Paola Schwizer

This study aims to investigate the drivers of bank automation system performance expectancy compared to that of bank employees. The purpose is to shed light on the role played by…

580

Abstract

Purpose

This study aims to investigate the drivers of bank automation system performance expectancy compared to that of bank employees. The purpose is to shed light on the role played by consumers' cognitive schema on automation that is the perfect automation schema (PAS).

Design/methodology/approach

A survey was administered to about 500 Italian subjects to measure their PAS; financial knowledge, anxiety, and security; and sociodemographic and socioeconomic variables. Ordered probit regressions and an instrumental variable two-stage least squares regression are run.

Findings

The analyses reveal that cognitive schemas play a crucial role in consumer expectations in banking. Individuals with stronger PAS tend to have more positive expectations about bank automation performance compared to employee performance. Financial anxiety and knowledge positively affect bank automation performance expectancy while women, older people, and financially insecure subjects have poor expectations of automated banking systems.

Originality/value

This study extends the understanding of key consumer characteristics that affect bank automation performance expectancy compared to that of bank employees in services delivery in the Italian context. Moreover, it provides useful results for researchers, practitioners, banking institutions, and regulators.

Details

International Journal of Bank Marketing, vol. 43 no. 1
Type: Research Article
ISSN: 0265-2323

Keywords

Available. Open Access. Open Access
Article
Publication date: 3 August 2021

Minna Saunila, Juhani Ukko, Mina Nasiri, Tero Rantala and Sariseelia Sore

The purpose of this paper is to analyze the connections between the capabilities of suppliers, buyer operations and the innovation performance of buyers in service-based supply…

2429

Abstract

Purpose

The purpose of this paper is to analyze the connections between the capabilities of suppliers, buyer operations and the innovation performance of buyers in service-based supply chains. In particular, the authors use a construct of supplier capabilities comprising the capabilities needed to produce an online store and divided into capabilities related to the product, capabilities related to service delivery and capabilities related to the buyer-supplier relationship.

Design/methodology/approach

Data were collected with cross-sectional, random sampling from Finnish companies that have an active online store. A survey was used to collect data on managerial assessments of capabilities of a supplier, the operations of buyers and the innovation performance of buyers. Multiple regressions were used to test the hypotheses.

Findings

The results reveal that capabilities related to the buyer-supplier relationship are positively connected with the innovation performance of the buyer, but those related to the product and service delivery do not significantly influence the innovation performance of the buyer. The results show that the moderating influence of buyer operations on the relationship between capabilities related to the product and the innovation performance of the buyer is negative. The moderating influence of buyer operations on the relationship between capabilities related to service delivery and the innovation performance of the buyer is positive.

Research limitations/implications

Forming tight relationships with online store suppliers appears to be a successful way to attain innovation performance for online store operators. Online store operators should not expect supplier capabilities related to online store functionality and characteristics of online store delivery alone to improve their innovation performance.

Originality/value

Few studies use an e-business operations model to comprehend the role played by supplier capabilities in buyer innovation performance in service-based supply chains. Building on a resource-based view with inter-organizational management and e-business literature streams, the authors focus on three supplier capabilities and buyer operations to investigate their effects in terms of enhancing innovation performance.

Details

Journal of Global Operations and Strategic Sourcing, vol. 14 no. 3
Type: Research Article
ISSN: 2398-5364

Keywords

1 – 10 of 142
Per page
102050