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Article
Publication date: 1 July 1996

Devdas Shetty, Luvai Motiwalla, Jun Kondo, Saat Embong and Yunus Kathawala

Explains that the rapid growth of artificial intelligence techniques, especially neural networks and knowledge‐based systems, have paved the way for the development of an…

714

Abstract

Explains that the rapid growth of artificial intelligence techniques, especially neural networks and knowledge‐based systems, have paved the way for the development of an intelligent and real‐time manufacturing information system. By efficiently utilizing the specific domain representation in a production cell, an intelligent system can manage the complex issues concerning the structure and character of the product, goals of the manufacturing unit and provide production guidance accordingly. Addresses issues in manufacturing intelligence through two case studies that demonstrate the feasibility of a real‐time quality control in changing environmental conditions. The quality and the factor of acceptability are determined by the intelligent agent. These intelligent agents involve the use of an artificial neural network system and, in some cases, a knowledge‐based system to control and operate, in real‐time, the functions of an inspection process in manufacturing. Addresses the design issues of interest, especially setting up global routines which can be used in a common platform to control a machine tool, interpret the sensor inputs, monitor the quality of products, and take corrective actions on a real‐time basis.

Details

International Journal of Quality & Reliability Management, vol. 13 no. 5
Type: Research Article
ISSN: 0265-671X

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Article
Publication date: 5 June 2007

Tian Han, Bo‐Suk Yang and Zhong‐Jun Yin

The purpose of this paper is to identify the efficiency of vibration signals for fault diagnosis system of induction motors.

1367

Abstract

Purpose

The purpose of this paper is to identify the efficiency of vibration signals for fault diagnosis system of induction motors.

Design/methodology/approach

A fault diagnosis system for induction motors using vibration signals is designed based on pattern recognition. Genetic algorithm is used for feature reduction and neural network tuning.

Findings

The usage of genetic algorithm improves the system performance through selecting significant features and optimizing network structure. The efficiency of vibration signals is demonstrated.

Practical implications

Condition monitoring and fault diagnosis for induction motors is one of the main industry maintenance parts. Motors faults usually result in whole production line breakdown. In this paper, one fault diagnosis system is proposed for induction motors based on feature recognition through combination of feature extraction, genetic algorithm and neural network techniques. From the paper, one can learn practically the whole procedure of feature‐based fault diagnosis system and the efficiency of GA and vibration signals for motor fault diagnosis. One real test has been done to validate the system performance. The results indicate that this system is promising for the real application in industry.

Originality/value

The use of genetic algorithm for feature selection and neural network tuning; the choice of vibration analysis for fault diagnosis of induction motor.

Details

Journal of Quality in Maintenance Engineering, vol. 13 no. 2
Type: Research Article
ISSN: 1355-2511

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Book part
Publication date: 24 August 2004

Abstract

Details

Handbook of Transport Geography and Spatial Systems
Type: Book
ISBN: 978-1-615-83253-8

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Article
Publication date: 6 July 2020

Yu Ma, Jun Shi and Qiang Ji

This paper empirically tests the impact of capital sudden stops on the economic growth using quarterly data from 49 emerging economies.

302

Abstract

Purpose

This paper empirically tests the impact of capital sudden stops on the economic growth using quarterly data from 49 emerging economies.

Design/methodology/approach

This paper applies the GMM dynamic panel estimation method.

Findings

The results show that capital sudden stops can significantly inhibit the economic growth of emerging economies. It was also found that the inhibiting effect on low-savings-rate economies is greater, but less on high-savings-rate economies. In addition, this paper examined the impact of different types of capital sudden stops on economic growth in emerging economies. The results reveal that the impact of sudden stops of direct investment is not significant.

Originality/value

Little existing research considers the impact of capital sudden stops through the perspective of savings rate differences. Based on our research using the GMM model, we argue that capital sudden stops will lead to a decline in investment kinetic energy in emerging economies, and therefore, a decline in economic growth. There are also few studies on the economic effects of capital sudden stops. And the time series model is generally used in a single economy. This paper, however, uses the data from 49 emerging economies and takes the panel approach to more comprehensively study the capital sudden stops of emerging economies.

Details

International Journal of Emerging Markets, vol. 16 no. 8
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 1 March 2001

Amita Gupta and Brian H. Kleiner

Provides a brief outline of the Philippines before looking at the values held by the culture and the management style commonly adopted. Outlines personnel management practices…

967

Abstract

Provides a brief outline of the Philippines before looking at the values held by the culture and the management style commonly adopted. Outlines personnel management practices with references to short case studies. Concludes that one must first understand the culture in relation to feelings, honour and relationships and the successful company is one which has formed effective relationships with not only customers but employees, suppliers and dealers and also provides staff with development opportunities.

Details

Management Research News, vol. 24 no. 3/4
Type: Research Article
ISSN: 0140-9174

Keywords

Available. Content available
Book part
Publication date: 1 July 2017

Peter K. Ross, Susan Ressia and Elizabeth J. Sander

Free Access. Free Access

Abstract

Details

Work in the 21st Century
Type: Book
ISBN: 978-1-78714-578-8

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Book part
Publication date: 29 September 2021

Clare Holdsworth

Abstract

Details

The Social Life of Busyness
Type: Book
ISBN: 978-1-78743-699-2

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Article
Publication date: 8 August 2016

Gyaneshwar Singh Kushwaha and Shiv Ratan Agrawal

The purpose of this paper is to examine customers’ behavioural outcomes based on the actual attitudinal responses of mobile marketing initiatives.

5072

Abstract

Purpose

The purpose of this paper is to examine customers’ behavioural outcomes based on the actual attitudinal responses of mobile marketing initiatives.

Design/methodology/approach

A total of 764 usable responses was included through a non-probability convenient sampling method. The data used in the study gathered from mobile users of 37 cities from nine states across India. The analysis of moment structures 22.0 and SmartPLS 3.0 statistical programmes were used for measurement validation and to test the structural model.

Findings

The study indicated that mobile marketing had a more significant effect on customers’ negative attitudes and followed by on positive attitudes. Despite the strong significant effect on customers’ negative attitudes, it does not display more significant effect on negative behavioural outcomes. Finally, the study suggested that customers’ positive attitudes display more favourable behavioural outcomes of mobile marketing initiatives.

Practical implications

The paper would help the mobile marketers and advertisers to understand the impact of mobile marketing initiatives on customers’ attitudes and behavioural outcomes and how it can be managed to ensure the higher level of adoption and acceptance.

Originality/value

The results of the analysis indicated that when the users have favourable attitudes of mobile marketing initiatives, it can be highly effective in triggering of favourable behavioural outcomes.

Details

Journal of Research in Interactive Marketing, vol. 10 no. 3
Type: Research Article
ISSN: 2040-7122

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Article
Publication date: 17 July 2007

Carmel Herington and Scott Weaven

The purpose of this research is to explore the impact of online service quality on the level of customer delight and on the development of customer relationships.

8402

Abstract

Purpose

The purpose of this research is to explore the impact of online service quality on the level of customer delight and on the development of customer relationships.

Design/methodology/approach

A self‐complete survey was used to collect data from a convenience sample of 200 Australian respondents who use online banking. Factor analysis and structural equation modelling were used to test the proposed model of relationships.

Findings

Online service quality has no impact on customer delight, e‐trust or the development of stronger relationships with customers. It does have a relationship to e‐loyalty. However, the “efficiency” dimension of online service quality is related to e‐trust and also indirectly to relationship strength through e‐trust. The “personal need” and “site organization” dimensions of online service quality are related to e‐loyalty, with “personal needs” exhibiting the strongest impact. Customer delight has no relationship to online service quality, nor e‐trust, relationship strength or e‐loyalty.

Research limitations/implications

Generalizability is the main issue. Further research is required to confirm results and examine the identified lack of association between customer delight and e‐loyalty. Further exploration of all scales is recommended. Online service quality is not a sufficient method for retaining customers through relationship building and does not result in delighting customers.

Practical implications

Online service quality is not enough to develop strong relationships with bank customers. Banks can achieve customer loyalty through attending to their personal needs in online situations as well as providing a well organized site. Alternatively, if banks wish to develop strong relationships with customers, they must provide user‐friendly and efficient websites while also developing trust in the website. Relationship building and e‐loyalty appears to represent different things to different customers. Therefore, online service quality alone is not a sufficient means of building strong relationships and retaining customers.

Originality/value

Results provide important insights into the impact of online service quality on relationship building with customers. Also online service quality for banks appears different to other previously researched retail settings and has different associated outcomes.

Details

Managing Service Quality: An International Journal, vol. 17 no. 4
Type: Research Article
ISSN: 0960-4529

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Book part
Publication date: 28 August 2023

Erica S. Jablonski, Chris R. Surfus and Megan Henly

This study compared different types of full-time caregiver (e.g., children, older adults, COVID-19 patients) and subgroups (e.g., disability, race/ethnicity, sexual orientation…

Abstract

Purpose

This study compared different types of full-time caregiver (e.g., children, older adults, COVID-19 patients) and subgroups (e.g., disability, race/ethnicity, sexual orientation) in the United States during the COVID-19 pandemic for potentially meaningful distinctions.

Methodology/Approach

Data from the 9,854 full-time caregivers identified in Phase 3.2 (July 21–October 11, 2021) of the US Census Household Pulse Survey (HPS) were analyzed in this study using multinomial logistic regression to examine relationships between caregiver types, marginalized subgroups, generation, and vaccination status.

Findings

The prevalence of caregiving was low, but the type of full-time caregiving performed varied by demographic group (i.e., disability, race/ethnicity, sexual orientation, gender, generation, and vaccination status). The relative risk of being a COVID-19 caregiver remained significant for being a member of each of the marginalized groups examined after all adjustments.

Limitations/Implications

To date, the HPS has not been analyzed to predict the type of full-time informal caregiving performed during the COVID-19 pandemic or their characteristics. Research limitations of this analysis include the cross-sectional, experimental dataset employed, as well as some variable measurement issues.

Originality/Value of Paper

Prior informal caregiver research has often focused on the experiences of those caring for older adults or children with special healthcare needs. It may be instructive to learn whether and how informal caregivers excluded from paid employment during infectious disease outbreaks vary in meaningful ways from those engaged in other full-time caregiving. Because COVID-19 magnified equity concerns, examining demographic differences may also facilitate customization of pathways to post-caregiving workforce integration.

Details

Social Factors, Health Care Inequities and Vaccination
Type: Book
ISBN: 978-1-83753-795-2

Keywords

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