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Article
Publication date: 3 June 2014

P.K. Viswanathan, M. Ranganatham and G. Balasubramanian

Asset liability management is a multi-dimensional set of activities. Against this backdrop, the purpose of this paper is to build a goal programming model for optimally…

696

Abstract

Purpose

Asset liability management is a multi-dimensional set of activities. Against this backdrop, the purpose of this paper is to build a goal programming model for optimally determining the asset allocation and liability composition for Indian Banks.

Design/methodology/approach

The conceptual model framework has been developed and then tested for four banks that typically represent the Indian banking sector. Published balance sheet data were used for the model that span over 1995-2009. The veracity of the model has been tested in terms of its ability to project the optimum asset allocation and liability composition for the year 2010.

Findings

The model has been able to generate the optimum asset and liability mix that meets the goals set on the key drivers. The solution provided is realistic and compatible with the actual figures. Sensitivity analysis including current and savings account and interest rate changes has been successfully performed to study impact they cause on profitability.

Research limitations/implications

The model provides an overall approach to asset allocation and liability composition based on past data reflecting the preferences and priorities of the banks with regard to their outlook on setting targets. This may change. The variables like return and risk are stochastic in nature.

Practical implications

The model demonstrated in this paper would be useful to the policy makers in any bank for decision support and planning in view of its ability to incorporate a large number of constraints. Changes in profit could be instantaneously captured through sensitivity analysis.

Originality/value

The goal programming model used here is invariant to the type of bank and year of consideration.

Details

Managerial Finance, vol. 40 no. 7
Type: Research Article
ISSN: 0307-4358

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Article
Publication date: 25 June 2019

A. Arun Negemiya, S. Rajakumar and V. Balasubramanian

The purpose of this paper is to develop an empirical relationship for predicting the strength of titanium to austenitic stainless steel fabricated by diffusion bonding (DB…

111

Abstract

Purpose

The purpose of this paper is to develop an empirical relationship for predicting the strength of titanium to austenitic stainless steel fabricated by diffusion bonding (DB) process. Process parameters such as bonding pressure, bonding temperature and holding time play the main role in deciding the joint strength.

Design/methodology/approach

In this study, three-factors, five-level central composite rotatable design was used to conduct the minimum number of experiments involving all the combinations of parameters.

Findings

An empirical relationship was developed to predict the lap shear strength (LSS) of the joints incorporating DB process parameters. The developed empirical relationship was optimized using particle swarm optimization (PSO). The optimized value discovered through PSO was compared with the response surface methodology (RSM). The joints produced using bonding pressure of 14 MPa, bonding temperature of 900°C and holding time of 70 min exhibited a maximum LSS of 150.51 MPa in comparison with other joints. This was confirmed by constructing response graphs and contour plots.

Originality/value

Optimizing the DB parameters using RSM and PSO, PSO gives an accurate result when compared with RSM. Also, a sensitivity analysis is carried out to identify the most influencing parameter for the DB process.

Details

Multidiscipline Modeling in Materials and Structures, vol. 15 no. 6
Type: Research Article
ISSN: 1573-6105

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Book part
Publication date: 23 October 2020

Nisreen Ameen and Amitabh Anand

Generation Z is deemed to be digital native and has been attracting the attention of many companies when developing digital strategies to understand their consumption behaviour…

Abstract

Generation Z is deemed to be digital native and has been attracting the attention of many companies when developing digital strategies to understand their consumption behaviour and their expectations in the workplace. Although research is progressing in relation to understanding Generation Z’s attributes, very little is known in the context of the United Arab Emirates (UAE) where a total of 1.4 million individuals who are part of this generation are located. This chapter aims to provide an overview of Generation Z in the UAE, their needs, characteristics, and preferences to enable companies to offer them targeted products and services and a suitable workplace which in turn will positively impact organisational performance. The findings suggest that Generation Z in the UAE has five main characteristics. They are (1) digital natives; (2) highly influenced by social influencers; (3) risk averse; (4) emotionally mature; and (5) highly involved in political debates. Accordingly, we outline directions for future research on Generation Z consumers and managerial implications for employers, retailers, and shopping malls operating in the UAE.

Details

The New Generation Z in Asia: Dynamics, Differences, Digitalisation
Type: Book
ISBN: 978-1-80043-221-5

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Article
Publication date: 20 August 2024

Khanh Bao Quang Le and Charles Cayrat

The emergence of new generations of artificial intelligence (AI), such as ChatGPT or Copilot has brought about a wave of innovation in the service workplace. These robotic agents…

561

Abstract

Purpose

The emergence of new generations of artificial intelligence (AI), such as ChatGPT or Copilot has brought about a wave of innovation in the service workplace. These robotic agents can serve as companions, helping employees cope with work-related stress. This research introduces the concept of “artificial companionship,” which explains how robotic agents can function as partners in assisting service employees to fulfill their job responsibilities and maintain their mental well-being.

Design/methodology/approach

This research uses a mixed methods approach grounded in social support theory from psychology and management to develop a conceptual framework for the stress-alleviating implications of artificial companionship. A qualitative employee survey is conducted to justify the relevance of the propositions.

Findings

This research delineates the concept of artificial companionship. It highlights four distinct roles that AI can play in companionship – instrumental, informative, caring, and intimate. Building on this foundation, the research presents a series of propositions that elucidate the potential of artificial companionship in mitigating stress among employees.

Practical implications

Firms should consider aligning the types of artificial companionship with the demands inherent in employees’ job responsibilities to better reinforce their resilience and sustainment in overcoming work-related challenges.

Originality/value

This research introduces a new perspective on artificial companionship through the lens of social support theory. It extends the current understanding of human-robot collaboration in service workspaces and derives a set of propositions to guide future investigations.

Details

Journal of Service Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1757-5818

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Article
Publication date: 22 February 2022

Mohammad Ahsan Habib, Sreejith Balasubramanian, Vinaya Shukla, David Chitakunye and Janya Chanchaichujit

The garments/textiles industry is the second most polluting industry in the world. However, efforts to understand and curtail its adverse environmental impacts have not been…

2519

Abstract

Purpose

The garments/textiles industry is the second most polluting industry in the world. However, efforts to understand and curtail its adverse environmental impacts have not been commensurate, and previous works have largely been fragmented and disjointed. This study aims to coduct a comprehensive and systematic green supply chain management (GSCM) investigation on this industry, where a multidimensional framework involving green supply chain practices and performance is developed, validated and applied.

Design/methodology/approach

A framework consisting of 12 constructs (8 on practices and 4 on performance) and their underlying measures were developed through an extensive literature review. A survey methodology was used to obtain responses from 403 garment-manufacturing firms in Bangladesh, one of the leading garment producers in the world. Confirmatory factor analysis and structural equation modeling were used first to validate the first- and second-order constructs and then test the hypothesized relationships.

Findings

Internal environmental management and cooperation with stakeholders were identified as necessary precursors for implementing the second-order green supply chain practices comprising green design, green purchasing, green manufacturing, green transportation, green facilities and end-of-life management. The implementation of green supply chain practices was found to have a (direct) positive impact on environmental, economic and operational performance and an indirect positive impact on organizational performance. Similarly, both economic and operational performance was found to impact organizational performance positively. Surprisingly, a negative relationship (albeit low) was observed between environmental and organizational performance. Also, garment-manufacturing firms were found to have been unable to translate their IEM capabilities into strategic and long-term cooperation with stakeholders.

Research limitations/implications

The study fills a gap in the literature about applying/implementing GSCM in the garment industry. Future studies in the garment industry and elsewhere could utilize the framework to understand further the synergistic impact of green supply chain practices on performance.

Practical implications

The findings provide practitioners, policymakers and organizations associated with the garment industry with critical insights on the various opportunities and challenges in adopting GSCM. Also, the positive impact of green supply chain practices on performance could provide the impetus for manufacturing firms to adopt GSCM.

Originality/value

A comprehensive GSCM investigation on the garment industry has not been previously attempted and constitutes the novelty of this work. Also, Bangladesh is the second-largest garment exporter worldwide, making this study contribution even more valuable.

Details

Management of Environmental Quality: An International Journal, vol. 33 no. 4
Type: Research Article
ISSN: 1477-7835

Keywords

Available. Open Access. Open Access
Article
Publication date: 1 July 2024

Abdul Moizz and S.M. Jawed Akhtar

The study aims to determine the long and short-term causal relationships between the variables associated with the adjustment of monetary policy and the stock market in India in…

1603

Abstract

Purpose

The study aims to determine the long and short-term causal relationships between the variables associated with the adjustment of monetary policy and the stock market in India in the presence of structural breaks.

Design/methodology/approach

The study employed the autoregressive distributed lag (ARDL) bounds test and the Error Correction Model to assess long- and short-term causal relationships. The study also used non-frequentist Bayesian inferences for the validity of estimation robustness. The Bai–Perron test is used to identify breakpoint dates for the Indian stock market index, and the Granger Causality test is employed to ascertain the direction of causality.

Findings

The F-bounds test reveals cointegration among the variables throughout the examined period. Specifically, the weighted average call money rate (WACR), inflation (WPI), currency exchange rate (EXE), and broad money supply (M3) exhibit statistical significance with precise signs. Furthermore, the study identifies the negative impact of the COVID-19 outbreak in March 2020 on the Indian stock market.

Research limitations/implications

Although the study provides significant insights, it is not exempt from constraints. A significant limitation is selecting a relatively limited time period, specifically from April 2008 to September 2023. The limited time frame of this study may restrict the applicability of the results to more comprehensive economic settings, as dynamics between the monetary policy and the stock market can be influenced by multiple factors over varying time periods. Furthermore, the utilisation of the Weighted Average Call Money Rate (WACR) rather than policy rates such as the Repo rate presents an additional constraint as it may not comprehensively account for the impacts of particular policy initiatives, thereby disregarding essential complexities in the connection between monetary policy variables and financial markets.

Practical implications

The findings of the study suggest that investors and portfolio managers should consider economic issues while developing long-term investing plans. Reserve Bank of India should exercise prudence to prevent any discretionary measures that may lead to a rise in interest rates since this adversely affects the stock market. To mitigate risk, investors should closely monitor the adjustment of monetary policy variables.

Social implications

The study has important social implications, especially regarding the lower levels of financial literacy among investors in India. Considering the complex nature of the study’s emphasis on monetary policy adjustments and their impact on the stock market. Investors face the risk of significant losses due to unexpected adjustments in monetary policy. Many individuals may need help understanding how policy changes impact their investments. Therefore, RBI must consider both price and financial stability when formulating monetary policies. Furthermore, market participants should consider the potential impact of fluctuating monetary policy variables when devising their long-term investment strategies. Given that adjustments in interest rates can markedly affect stock market dynamics, investors must carefully assess the implications of monetary policy decisions on their portfolios.

Originality/value

The study uses dummy variables in the ARDL model to represent structural breaks that emerged from the COVID-19 pandemic (as determined by the Bai–Perron multiple breakpoint test). The study also used the Perron unit root test to find out the stationary of the series in the presence of structural breaks. Additionally, the study also employed Bayesian inferences to affirm the robustness of the estimates.

Details

Asian Journal of Economics and Banking, vol. 8 no. 3
Type: Research Article
ISSN: 2615-9821

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Article
Publication date: 1 March 1993

P. BALASUBRAMANIAN, J.G. JAGADEESH, H.K. SUHAS and V. RAMAMURTI

The free vibration analysis of cyclic symmetric structures is considered as a Hermitian eigenvalue problem in semi‐complex domain using subspace iteration method is presented. The…

76

Abstract

The free vibration analysis of cyclic symmetric structures is considered as a Hermitian eigenvalue problem in semi‐complex domain using subspace iteration method is presented. The trial vectors are selected using a modified Ritz vector scheme. A modified convergence criterion which gives true error estimates which is suited for clustered eigenvalue problems is presented. Also the effect of purification of trial vectors on convergence is considered.

Details

Engineering Computations, vol. 10 no. 3
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 31 May 2019

Desak Ketut Sintaasih, I.G.A. Manuati Dewi, I Wayan Mudiartha Utama and Ni Wayan Mujiati

This study aims to analyze the relationship of work spirituality, organizational commitment and performance of rural credit institution (Lembaga Perkreditan Desa [LPD]…

601

Abstract

Purpose

This study aims to analyze the relationship of work spirituality, organizational commitment and performance of rural credit institution (Lembaga Perkreditan Desa [LPD]) administrators.

Design/methodology/approach

To obtain the data, the researcher uses the interview and questionnaire techniques. The questionnaire is used as the research instrument whose validity and reliability have been tested. This study uses the quantitative approach. The analysis technique used is the path analysis. The significance level of the mediation role is analyzed by using Sobel test.

Findings

The work spirituality is proven to give a positive and significant effect to the performance of administrator and organizational commitment. It can be summarized that the higher the work spirituality, the better the performance at work and the higher organizational commitment. The organizational commitment also gives a positive and significant effect to the LPD administrator’s performance. The organizational commitment is proven to be the partial mediator variable for the relationship between the work spirituality and work performance of LPD administrator.

Research limitations/implications

First, LPD as the druwe institution or owned by the traditional village has to be directed to the attempt of improving the standard of living of Krama Desa Adat and supporting the development of the traditional village. Second, it is important for LPD to be run by the human resource with high work spirituality; thus, it can positively affect their commitment to the organization and improve their performance at work.

Originality/value

The originality of this study is the finding of various empirical studies that have not been explained in an integrated way about the relationship between the work spirituality and organizational commitment, as well as the individual performance. Therefore, this study analyzes further about the relationship among them. In the previous study, there are many researchers who analyze the industry, but few do it in the local wisdom-based organizations such as LPDs that are developing rapidly in Bali.

Details

International Journal of Ethics and Systems, vol. 35 no. 3
Type: Research Article
ISSN: 0828-8666

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Article
Publication date: 26 March 2021

Robinson James

This study aims to investigate the influence of organisational politics on work engagement and the moderator effect of positive framing on this relationship

420

Abstract

Purpose

This study aims to investigate the influence of organisational politics on work engagement and the moderator effect of positive framing on this relationship

Design/methodology/approach

Data were collected from 241 public sector employees in Sri Lanka through a structured questionnaire and analysed with partial least square structural equation modelling (PLS_SEM).

Findings

The results indicated that organisational politics negatively influenced employees' work engagement, positive framing positively influenced engagement and weakened the negative relationship between politics and engagement.

Practical implications

This study suggests that organisation and individuals must take the necessary steps to enhance work engagement. Organisations must be transparent in all activities to avoid employees' negative perception. Also, organisations need to take steps to recruit employees with positive framing or develop this competency through training and development. Individuals also need to take necessary steps to frame the work environment positively to enhance their engagement in work.

Originality/value

This study extends the literature by being the first to examine the positive framing as a moderator in the relationship between politics and engagement. This study found that positive framing as a resource reduced the harmful effect of organisational politics on engagement and suggested positive framing can be considered as a resource in the future investigation of the job demand–resource model.

Details

South Asian Journal of Business Studies, vol. 11 no. 4
Type: Research Article
ISSN: 2398-628X

Keywords

Available. Open Access. Open Access
Article
Publication date: 17 February 2023

Uni Sallnäs and Maria Björklund

Whilst green distribution alternatives for consumers have the potential to decrease environmental impact from logistics, retailers struggle to provide such alternatives. The…

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Abstract

Purpose

Whilst green distribution alternatives for consumers have the potential to decrease environmental impact from logistics, retailers struggle to provide such alternatives. The purpose of this paper is to increase the understanding of the factors that hinder retailers from offering green distribution alternatives to consumers.

Design/methodology/approach

The paper relies on a multiple case-study of three cases, with one retailer constituting each case. Semi-structured interviews with seven respondents and visits to the retailers' checkouts were used for data collection.

Findings

The offering of green distribution alternatives is a complex task for retailers, with barriers related to six categories (organisational, financial, retailer-logistic service provider (LSP) market, retailer-consumer market, governmental and technological barriers) obstructing the way forward. A process towards offering green distribution services, including barriers and potential mitigation strategies, is suggested.

Research limitations/implications

The study is limited to a Swedish context, and further research could consider how barriers would manifest themselves in countries with other characteristics.

Practical implications

A framework with barriers and mitigation strategies offers guidance for managers within e-commerce.

Social implications

The greening of logistics is an important quest towards world-wide sustainability goals, and this paper contributes with an increased understanding of how to decrease environmental impact from e-commerce distribution.

Originality/value

The paper is one of few that takes the consumer side of the greening of logistics into account, thus contributing with valuable perspectives to this scarce body of literature.

Details

The International Journal of Logistics Management, vol. 34 no. 7
Type: Research Article
ISSN: 0957-4093

Keywords

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