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Article
Publication date: 1 June 2023

Muhammad Latif Khan, Rohani Salleh, Amjad Shamim and Mohamad Abdullah Hemdi

This paper aims to investigate the role-play of Protean Career Attitude (PCA) and Career Success (CS) in Affective Organizational Commitment (AOC).

Abstract

Purpose

This paper aims to investigate the role-play of Protean Career Attitude (PCA) and Career Success (CS) in Affective Organizational Commitment (AOC).

Design/methodology/approach

A cross-sectional study on 376 employees from 55 hotels in Malaysia were conducted. The co-variance-based structural equation modeling was employed to analyze the data to test the direct and indirect relationships of PCA and CS with AOC.

Findings

The findings reveal that self-directed career attitude (SDCA) has a positive direct influence on AOC as well as indirect influence through the mediation of OCS and SCS. However, the value-driven career attitude (VDCA) neither influences AOC nor the OCS.

Originality/value

This is a first paper to body of knowledge in Asian context which identify mediating role of career success (SCA and OCS) to PCA and AOC. The findings of this research are the workplace learning in hospitality management. The authors argue that hotels should not assume spontaneously PCA with diminishing AOC, but rather hotels' attention is required to identify the most important preferences of these butterfly career attitudes such as OCS and SCS. Most importantly the research negates many negative labels of PCA and adds new perception to the contemporary career literature. Higher education institutions, government, and primary, secondary, and post-secondary education departments can play a significant role in developing PCA dispositions like SDCA and VDCA toward career success. Therefore, further study should examine PCA and their relevance to career outcome like job searching and employability of students in Malaysia. The paper is the first, to one's knowledge, to assess organizational commitment with specific measures of PCA. While the results are simple, they refute many stereotypes of the new career and, in that sense, add an important perspective to the career literature.

Details

Asia-Pacific Journal of Business Administration, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-4323

Keywords

Article
Publication date: 19 May 2023

Saibal Ghosh

The purpose of this paper is to assess the effects of prompt corrective action on bank risk and returns in an empirical framework.

Abstract

Purpose

The purpose of this paper is to assess the effects of prompt corrective action on bank risk and returns in an empirical framework.

Design/methodology/approach

The paper uses a difference-in-difference specification to analyse whether and how PCA affects bank risk and returns. As part of robustness, the analysis also uses a fixed effects specification with Driscoll–Kraay standard errors to account for serial correlation and cross-sectional dependence.

Findings

The findings reveal that banks under PCA framework contribute less to systemic risk and exhibit higher market valuation. These findings differ across recapitalised versus non-recapitalised banks and for banks with differing asset quality, capital and profitability. The overall price impact is a decline in lending rates and deposit costs.

Originality/value

To the best of the author’s understanding, this is one of the early studies in the Indian context to carefully examine the linkage between PCA and bank behaviour.

Details

Journal of Financial Regulation and Compliance, vol. 31 no. 5
Type: Research Article
ISSN: 1358-1988

Keywords

Article
Publication date: 11 May 2015

Mohammad Reza Taghizadeh Yazdi

The purpose of this paper is to illustrate the application of statistical tools and techniques for quantitative assessment of spiritual capital (SC) based on a questionnaire…

Abstract

Purpose

The purpose of this paper is to illustrate the application of statistical tools and techniques for quantitative assessment of spiritual capital (SC) based on a questionnaire survey in the organizations which undergo large-scale organizational change projects.

Design/methodology/approach

A sample of 65 individuals from three organizations were interviewed. The paper uses the 12 principles of transformation available to spiritual intelligence (referred to as SQ characteristics) to assess SC in a two-phase integrated algorithm of principal component analysis (PCA) and fuzzy clustering.

Findings

The paper proposes a two-phase integrated algorithm. In the first phase, PCA is used to reduce the scores of items related to each of SQ characteristics and aggregate them into a single and unique measure. In the second phase, PCA is applied for total SQ quantification. For verification and validation, fuzzy clustering is employed along with PCA to cluster the people in the survey into different classes, which may possess different stocks of SC and rank them based on their level of SQ. The results of PCA are verified and validated by fuzzy clustering revealing the applicability and usefulness of PCA for SC quantification.

Research limitations/implications

The paper is based on individual judgments about their own SQ characteristics hence the results of questionnaire survey may be biased by individual personal characteristics. Future research can apply the proposed algorithm and check for its reliability using other psychometric instruments available in the field.

Originality/value

The paper contributes by filling a gap in the quantitative management tools literature, in which empirical studies on validated multivariate analysis of spirituality have been scarce until now.

Details

Journal of Organizational Change Management, vol. 28 no. 3
Type: Research Article
ISSN: 0953-4814

Keywords

Article
Publication date: 25 May 2021

Seok-Young Oh and Seonhui Koo

This study aims to identify the relationship between protean career attitude (PCA) and organisational commitment (OC) in a learning organisation (LO) climate. The study also…

Abstract

Purpose

This study aims to identify the relationship between protean career attitude (PCA) and organisational commitment (OC) in a learning organisation (LO) climate. The study also identified whether negative relationships exist between the structure dimension of LO (SDLO) and PCA, and between PCA and OC, and whether such relationships can be moderated by the people dimension of LO (PDLO).

Design/methodology/approach

Data collected from 305 employees of 26 firms were analysed using the PROCESS macro for SPSS.

Findings

This study found that SDLO had a negative relationship with PCA, whereas PCA was negatively associated with OC. Furthermore, this study found that PDLO moderated these relationships, in that the negative relationships were absent when PDLO activities were stronger, in contrast to when they were weaker.

Originality/value

The study is among the first to identify the negative relationships that exist between SDLO and PCA and between PCA and OC in Korean firms. An important implication for managers or OD professionals is that PDLO plays an important role in not only reducing the negative mediation effects of PCA in the relationships but also making the relationships positive.

Details

Leadership & Organization Development Journal, vol. 42 no. 6
Type: Research Article
ISSN: 0143-7739

Keywords

Article
Publication date: 20 December 2007

Chuanfeng Lv and Qiangfu Zhao

In recent years, principal component analysis (PCA) has attracted great attention in dimension reduction. However, since a very large transformation matrix must be used for…

Abstract

Purpose

In recent years, principal component analysis (PCA) has attracted great attention in dimension reduction. However, since a very large transformation matrix must be used for reconstructing the original data, PCA has not been successfully applied to image compression. To solve this problem, this paper aims to propose a new technique called kPCA.

Design/methodology/approach

Actually, kPCA is a combination of vector quantization (VQ) and PCA. The basic idea is to divide the problem space into k clusters using VQ, and then find a PCA encoder for each cluster. The point is that if the kPCA encoder is obtained using data containing enough information, it can be used as a semi‐universal encoder to compress all images in a given domain.

Findings

Although a kPCA encoder is more complex than a single PCA encoder, the compression ratio can be much higher because the transformation matrices can be excluded from the encoded data. The performance of the kPCA encoder can be improved further through learning. For this purpose, this paper‐proposes an extended LBG algorithm.

Originality/value

The effectiveness of the kPCA is demonstrated through experiments with several well‐known test images.

Details

International Journal of Pervasive Computing and Communications, vol. 3 no. 2
Type: Research Article
ISSN: 1742-7371

Keywords

Open Access
Article
Publication date: 30 November 2023

Constant Van Graan, Vera Roos and Matthews Katjene

A significant increase in financial crime globally emphasises the importance of forensic interviewing to obtain useful and reliable information as part of a commercial forensic…

Abstract

Purpose

A significant increase in financial crime globally emphasises the importance of forensic interviewing to obtain useful and reliable information as part of a commercial forensic investigation. Previous research has identified two interviewing strategies that are aligned with the legal framework in South Africa: the PEACE model (P = preparation and planning; E = engage and explain; A = account, clarify and challenge; C = closure; E = evaluation) and the person-centred approach (PCA). The purpose of this paper is to explore the theoretical underpinnings and application of the PEACE model and the PCA as commercial investigative strategies aligned with the legal context in South Africa.

Design/methodology/approach

A scoping review was undertaken to identify literature relevant to the theoretical assumptions and application of the PEACE model and the PCA.

Findings

Literature for the most part reports on the PEACE model but offers very little information about the PCA. A critical analysis revealed that the PEACE model incorporates a clear guiding structure for eliciting information but lacks content needed to create an optimal interpersonal context. To promote this, the PCA proposes that interviewers demonstrate three relational variables: empathy, congruence and unconditional positive regard. The PCA suggests a basic structure for interviewing (beginning, middle and end), while providing very little guidance on how to structure the forensic interview and what information is to be elicited in each phase.

Originality/value

Combining the PEACE model and PCA presents an integrated interviewing technique best suited for obtaining useful and reliable information admissible in a South African court of law. The PEACE model has a clear structure, and the PCA assists in creating an optimal interpersonal context to obtain information in an interview.

Details

Journal of Financial Crime, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1359-0790

Keywords

Article
Publication date: 1 February 1995

Charles W. Neale

Investment project post‐completion auditing (PCA) is capable ofyielding significant benefits to firms wishing to tighten the control ofexisting projects and also to improve their…

2493

Abstract

Investment project post‐completion auditing (PCA) is capable of yielding significant benefits to firms wishing to tighten the control of existing projects and also to improve their decision‐making and planning procedures. An increasing proportion of large companies now operates post‐audits in pursuit of these benefits. However, adoption and implementation of PCAs is not problem‐free. Among the likely drawbacks is the possibility of deterring staff from advancing proposals for new investment. However, evidence from an empirical study shows that there appears to be no significant relationship between adoption of PCA and level of investment expenditure, in either absolute terms or when adjusted for disposals or size of firm. This suggests that some of the difficulties typically associated with PCAs may be overstated. Concludes with a survey of the issues which would‐be adopters of PCAs should address and offers a checklist of action points designed to lubricate the introduction of PCAs.

Details

Managerial Auditing Journal, vol. 10 no. 1
Type: Research Article
ISSN: 0268-6902

Keywords

Article
Publication date: 5 March 2018

Xu Kang and Dechang Pi

The purpose of this paper is to detect the occurrence of anomaly and fault in a spacecraft, investigate various tendencies of telemetry parameters and evaluate the operation state…

Abstract

Purpose

The purpose of this paper is to detect the occurrence of anomaly and fault in a spacecraft, investigate various tendencies of telemetry parameters and evaluate the operation state of the spacecraft to monitor the health of the spacecraft.

Design/methodology/approach

This paper proposes a data-driven method (empirical mode decomposition-sample entropy-principal component analysis [EMD-SE-PCA]) for monitoring the health of the spacecraft, where EMD is used to decompose telemetry data and obtain the trend items, SE is utilised to calculate the sample entropies of trend items and extract the characteristic data and squared prediction error and statistic contribution rate are analysed using PCA to monitor the health of the spacecraft.

Findings

Experimental results indicate that the EMD-SE-PCA method could detect characteristic parameters that appear abnormally before the anomaly or fault occurring, could provide an abnormal early warning time before anomaly or fault appearing and summarise the contribution of each parameter more accurately than other fault detection methods.

Practical implications

The proposed EMD-SE-PCA method has high level of accuracy and efficiency. It can be used in monitoring the health of a spacecraft, detecting the anomaly and fault, avoiding them timely and efficiently. Also, the EMD-SE-PCA method could be further applied for monitoring the health of other equipment (e.g. attitude control and orbit control system) in spacecraft and satellites.

Originality/value

The paper provides a data-driven method EMD-SE-PCA to be applied in the field of practical health monitoring, which could discover the occurrence of anomaly or fault timely and efficiently and is very useful for spacecraft health diagnosis.

Details

Aircraft Engineering and Aerospace Technology, vol. 90 no. 2
Type: Research Article
ISSN: 1748-8842

Keywords

Article
Publication date: 5 June 2007

A. Azadeh, S.F. Ghaderi and V. Ebrahimipour

This paper seeks to present an integrated principal component analysis (PCA) data envelopment analysis (DEA) framework for assessment and ranking of manufacturing systems based on…

1115

Abstract

Purpose

This paper seeks to present an integrated principal component analysis (PCA) data envelopment analysis (DEA) framework for assessment and ranking of manufacturing systems based on equipment performance indicators.

Design/methodology/approach

The integrated framework discussed in this paper is based on PCA and DEA. The validity of the integrated model is further verified and validated by numerical taxonomy (NT) methods.

Findings

The results of the integrated PCA DEA framework show the ranking of sectors and weak and strong points of each sector with regard to equipment and machinery. Moreover, a non‐parametric correlation method, namely, Spearman correlation experiment shows high level of correlation among the findings of PCA, DEA and NT. Furthermore, it identifies which indicators have major impacts on the performance of manufacturing sectors.

Practical implications

To achieve the objectives of this study, a comprehensive study was conducted to locate all economic and technical indicators which influence equipment performance. These indicators are related to equipment productivity, efficiency, effectiveness and profitability. Standard factors such as down time, time to repair, mean time between failure, operating time, value added and production value were considered as shaping factors. The manufacturing sectors are selected according to the format of International Standard for Industrial Classification.

Originality/value

The modeling approach of this paper could be used for ranking and analysis of other sectors in particular or countries in general.

Details

Engineering Computations, vol. 24 no. 4
Type: Research Article
ISSN: 0264-4401

Keywords

Article
Publication date: 9 November 2015

Maria Martins, Cristina Santos, Lino Costa and Anselmo Frizera

The purpose of this paper is to propose a gait analysis technique that aims to identify differences and similarities in gait performance between three different assistive devices…

Abstract

Purpose

The purpose of this paper is to propose a gait analysis technique that aims to identify differences and similarities in gait performance between three different assistive devices (ADs).

Design/methodology/approach

Two feature reduction techniques, linear principal component analysis (PCA) and nonlinear kernel-PCA (KPCA), are expanded to provide a comparison of the spatio-temporal, symmetrical indexes and postural control parameters among the three different ADs. Then, a multiclass support vector machine (MSVM) with different approaches is designed to evaluate the potential of PCA and KPCA to extract relevant gait features that can differentiate between ADs.

Findings

Results demonstrated that symmetrical indexes and postural control parameters are better suited to provide useful information about the different gait patterns that total knee arthroplasty (TKA) patients present when walking with different ADs. The combination of KPCA and MSVM with discriminant functions (MSVM DF) resulted in a noticeably improved performance. Such combination demonstrated that, with symmetric indexes and postural control parameters, it is possible to extract with high-accuracy nonlinear gait features for automatic classification of gait patterns with ADs.

Originality/value

The information obtained with the proposed technique could be used to identify benefits and limitations of ADs on the rehabilitation process and to evaluate the benefit of their use in TKA patients.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 8 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

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