Search results

1 – 9 of 9
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 17 October 2019

Subhankar Das, Anand Nayyar and Inderpal Singh

The purpose of this paper is to identify and describe the relationship between the precursors and consequences of customer loyalty (CL) in the Indian financial sector, specially…

371

Abstract

Purpose

The purpose of this paper is to identify and describe the relationship between the precursors and consequences of customer loyalty (CL) in the Indian financial sector, specially banking and insurance context, taking a sample of individual customers as respondents from the Indian State of Punjab.

Design/methodology/approach

The collected data have been analyzed using univariate, bivariate and multivariate analysis techniques. Specifically, descriptive statistics have been assessed to examine the basic characteristics of the sample data. Confirmatory factor analysis with maximum likelihood criteria has been adopted for the measurement and validation of various constructs. Independent samples t-test has been used to compare the CL of public and private firms, banks and insurance firms, and for some of the demographic variables like gender, marital status, etc. One-way ANOVA has been used to compare the CL for variables having more than two groups. Structural equation modeling (SEM) has been used to measure the impact of CL on the BP of financial services firms.

Findings

The result shows that BP is a higher-order construct measured in terms of word-of-mouth, repurchase intention, price premium and share of wallet. Though each of the four measures of CL is special and unique in nature, yet a high level of positive correlation has been seen among these dimensions. The study reveals that CL is not significantly different for the banking firms and insurance firms in Punjab.

Research limitations/implications

The authors consider this work as one of the foundational elements that will enable further advances toward the governance of multi-layer business impact modeling systems. Extensive usability tests would enable to further confirm the findings of the paper. This study contributes to the customer relationship management and services marketing literature by providing empirical support for CL and BP relationship in the Indian context.

Practical implications

The approach described here should improve the maintainability, reuse and clarity of business process models and in extension improve data for CL in large banking and insurance organizations. The approaches described here should improve the maintainability, reuse and clarity of loyalty and relationship of the customer with that of organizations. This can improve data for customer relationship and loyalty in banking and insurance sector.

Originality/value

This paper fulfills an identified gap to enabling SEM enabled models for data regarding customer relationship and loyalty. Loyalty revolves around the concept of relationship. CL is not a new concept, but recent years have demonstrated a developing interest to fabricate CL because of customer-oriented techniques or strategies. Over the previous era, CL has been broadly inspected inside marketing, trades and transactions. It can be concluded that the CL significantly influences BP.

Details

Data Technologies and Applications, vol. 53 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

Access Restricted. View access options
Article
Publication date: 26 September 2008

J‐L.W. Mitchell Van der Zahn, Harjinder Singh and Inderpal Singh

The primary objective of this paper is to examine the association between the seven human‐resource features (spanning three major themes: qualifications and credentials; business…

1215

Abstract

Purpose

The primary objective of this paper is to examine the association between the seven human‐resource features (spanning three major themes: qualifications and credentials; business and initial public offering (IPO) launch experience; and diversity) of independent audit committee members and the level of underpricing.

Design/methodology/approach

A sample of 410 Singapore IPOs listing on the stock exchange of Singapore from January 1, 1997 to December 31, 2006 was used.

Findings

Empirical results overall suggest no overwhelming association between the human‐resource features of IPO audit committees and underpricing. Rather, the findings suggest only some specific human‐resource features (e.g. presence of an independent audit committee member with accounting qualifications and credentials) are of significance. Others (e.g. gender diversity of independent audit committee members) have little or no association. Also, results do not suggest a major category of human‐resource features (i.e. qualifications and credentials, business and IPO launch experience, or diversity) is associated with underpricing. Time also does not appear to affect the results.

Practical implications

As human‐resource features tended to increase rather than lower an IPO's cost of capital, or had not influence at all, our findings generally do not support some policymakers' arguments for the introduction of mandated uniform audit committee structures. Rather, the results support flexibility to determine the properties of the audit committee.

Originality/value

This study is one of the first (particularly outside the USA) to investigate linkages between audit committee human‐resource features and underpricing. Whilst acknowledging some caveats associated with this study, such as focusing on a single nation, this paper contributes relevant insights to the debate about audit committee effectiveness.

Details

Journal of Human Resource Costing & Accounting, vol. 12 no. 3
Type: Research Article
ISSN: 1401-338X

Keywords

Access Restricted. View access options
Article
Publication date: 24 July 2009

Inderpal Singh and J‐L.W. Mitchell Van der Zahn

The primary purpose of this paper is to investigate the association between intellectual capital disclosures in initial public offerings (IPOs) and post‐issue stock performance.

2055

Abstract

Purpose

The primary purpose of this paper is to investigate the association between intellectual capital disclosures in initial public offerings (IPOs) and post‐issue stock performance.

Design/methodology/approach

The analysis is based on a sample of 259 IPOs listing on the Singapore Stock Exchange (SGX) between July 1, 1999 and June 30, 2005. Post‐issue stock performance is measured using market‐adjusted buy‐and‐hold returns across a 500 trading day observation window after listing. Intellectual capital disclosure is measured using an 81‐item index.

Findings

The study's major finding is a negative association between the level of intellectual capital disclosure in IPO prospectuses and post‐issue stock performance. The negative association persists regardless of industry type but is stronger for small IPOs relative to larger counterparts.

Research limitations/implications

The study includes only Singapore IPOs within a specific timeframe concentrating on a single disclosure mechanism. Furthermore, the analysis focuses on an association rather than causal relationship.

Practical implications

The findings imply greater intellectual capital prospectus disclosure may contribute to investor over‐optimism leading to higher IPO mispricing. As information becomes available post‐issue, and over‐optimistic expectations are not immediately met, investors aggressively discount shares leading to greater negative post‐issue stock performance for high IC disclosing IPOs. Pre‐listing owners/management may exploit the speculative environment generating higher wealth transfers from investors. Policymakers may need to introduce (some) uniform intellectual capital disclosure requirements to reduce speculative market conditions.

Originality/value

This paper documents the first study to provide empirical evidence of the association between intellectual capital disclosures and post‐issue stock performance; thus, it offers a new path for future intellectual capital disclosure research and understanding.

Details

Journal of Intellectual Capital, vol. 10 no. 3
Type: Research Article
ISSN: 1469-1930

Keywords

Access Restricted. View access options
Article
Publication date: 2 October 2007

J‐L.W. Mitchell van der Zahn, Inderpal Singh and Joshua Heniro

Excessive initial trading day returns (termed underpricing (UP)) and poor long‐run performance (LRP) are two well‐documented anomalies associated with initial public offerings…

1159

Abstract

Purpose

Excessive initial trading day returns (termed underpricing (UP)) and poor long‐run performance (LRP) are two well‐documented anomalies associated with initial public offerings (IPOs).The primary objective of this study is to empirically test the association between the extent of intellectual capital (IC) disclosure in the prospectus of an unseasoned IPO and: UP and LRP.

Design/methodology/approach

Ex ante uncertainty surrounding IC – recognized as the pivotal resource underlying a firm's future value creation and sustainable competitive advantage in the “new economic” era – is likely to be high. Unseasoned IPOs world‐wide are increasing with many IPOs heavily IC‐reliant. Given ex ante uncertainty surrounding IC, there is an escalating need to understand how disclosure of information related to IC can reduce an IPO's cost of capital (i.e. UP) and provide an indication of LRP. The analysis is based on a sample of 228 Singapore IPOs listing during the period 1997‐2003. IC disclosure (ICDisc) in IPO prospectuses is measured using an 81‐item researcher constructed disclosure index.

Findings

Empirical findings indicate, contrary to expectations, a positive (negative) ICDisc‐UP (ICDisc‐LRP) association.

Practical implications

It is the opinion that regulators, scholars and practitioners alike need to pay attention to developing a responsible model for reporting IC information so as to prevent a potentially unhealthy speculative environment driven by over‐optimism.

Originality/value

The study is the first to simultaneously investigate the linkage between ICDisc and UP and: LRP.

Details

Journal of Human Resource Costing & Accounting, vol. 11 no. 3
Type: Research Article
ISSN: 1401-338X

Keywords

Access Restricted. View access options
Article
Publication date: 31 July 2007

Inderpal Singh and J.‐L.W. Mitchell Van der Zahn

The pivotal aim is to examine the association between underpricing and intellectual capital (IC) disclosures amongst Singapore initial public offerings (IPOs). A secondary aim is…

2880

Abstract

Purpose

The pivotal aim is to examine the association between underpricing and intellectual capital (IC) disclosures amongst Singapore initial public offerings (IPOs). A secondary aim is to elaborate on the research by Bukh into IC disclosures by Danish IPOs.

Design/methodology/approach

Using a theoretical framework based on the notions of ex ante uncertainty and information asymmetry, the study examines empirically 334 Singapore IPO prospectuses between 1997 and 2004.

Findings

Contrary to theoretical predictions and much of the prior financial disclosure/underpricing research, we find a positive association between underpricing and the extent of IC disclosure. Additional sub‐sample analysis shows that the positive association holds across the market's broader industry base, but is strongest amongst IPOs that are heavily reliant on IC resources.

Research limitations/implications

The research studies Singapore IPOs only, within a specific timeframe (1997‐2004), and concentrates on a single disclosure mechanism (though the one considered most significant to an IPO).

Practical implications

Empirical analysis suggests issuers may not use IC disclosures effectively to reduce their cost of capital. Rather, they use IC disclosures as a strategic tool to complement underpricing. Further, findings suggest policymakers may need to introduce minimal uniform IC disclosure requirements to prevent a speculative IPO market from developing as the significance of IC increases.

Originality/value

Study is the first to provide empirical evidence of the association between IC disclosures and underpricing. Further, it is one of the very first to examine the consequences of IC disclosures and thereby provide a new path for future IC disclosure research.

Details

Journal of Intellectual Capital, vol. 8 no. 3
Type: Research Article
ISSN: 1469-1930

Keywords

Available. Content available
Article
Publication date: 31 July 2007

Rory L. Chase

289

Abstract

Details

Journal of Intellectual Capital, vol. 8 no. 3
Type: Research Article
ISSN: 1469-1930

Access Restricted. View access options
Book part
Publication date: 28 September 2023

Deepali Bhatnagar and Kajal Yadav

This research examines Indian women entrepreneurs’ endeavours to keep their undertakings above water amid the COVID-19 emergency in 2021–2022. This study centers around…

Abstract

This research examines Indian women entrepreneurs’ endeavours to keep their undertakings above water amid the COVID-19 emergency in 2021–2022. This study centers around female-possessed endeavours in Rajasthan, with a particular spotlight on how artificial intelligence (AI) assists them in getting by. It examines how Indian women entrepreneurs used social media to stay in business during the pandemic and adds to information collection by inspecting women-claimed micro and small enterprises (MSEs) and their use of AI through social media during COVID-19. We administered a questionnaire to a sample of 100 female entrepreneurs who use social media platforms to manage their businesses. The researchers found that the pandemic fundamentally affects women entrepreneurs, especially those who run MSEs, using an anti-tactical approach to deal with survey information from 100 respondents. Women have seen a drop in pay because of lower deals, hindered supply chains, and the inconvenience of paying credit portions. Regardless of how women entrepreneurs are especially delicate to monetary shocks, most need to approach government or private-area help. The significance of virtual entertainment through AI in saving women’s ventures is featured in this review. Web-based entertainment has become famous for helping women sell their businesses, contact new clients, and keep current clients. Women entrepreneurs have reduced their losses as a result of forceful advancements supplemented by appealing offers like limits, various administrations, and advertising. We infer that during an emergency, women entrepreneurs embraced innovative methods to keep their businesses reasonable.

Details

Digital Transformation, Strategic Resilience, Cyber Security and Risk Management
Type: Book
ISBN: 978-1-80455-262-9

Keywords

Access Restricted. View access options
Article
Publication date: 11 July 2023

Mehak Bhola

The papers explores the emergence of an ideological consolidation amidst the theory of intersectionality put forth by Crenshaw and Mohanty's transnational feminist thought vis-à

41

Abstract

Purpose

The papers explores the emergence of an ideological consolidation amidst the theory of intersectionality put forth by Crenshaw and Mohanty's transnational feminist thought vis-à-vis the thematic concerns of Punjabi immigrant fiction.

Design/methodology/approach

The paper attempts to follow a qualitative approach in terms of uncovering the various facets of Punjabi Diasporic Fiction vis-à-vis reflecting how intersectionality defines the diasporic condition of third-world immigrant women through contextualizing Fauzia Rafique's text, Skeena.

Findings

The performed study depicts the intellectual consonance between Crenshaw and Mohanty's theories and how immigrant literature aids Crenshaw and Mohanty's hypothesis into praxis.

Research limitations/implications

The research majorly focuses upon the works of the Punjabi diaspora and studies the diaspora's implications while analyzing how the diaspora contributes in rupturing contemporary hegemonic structures.

Originality/value

The paper has been originally drafted through the honest research performed by the author.

Details

Equality, Diversity and Inclusion: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7149

Keywords

Access Restricted. View access options
Article
Publication date: 21 December 2021

Laouni Djafri

This work can be used as a building block in other settings such as GPU, Map-Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems such as P2P…

453

Abstract

Purpose

This work can be used as a building block in other settings such as GPU, Map-Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems such as P2P networks, clusters, clouds computing or other technologies.

Design/methodology/approach

In the age of Big Data, all companies want to benefit from large amounts of data. These data can help them understand their internal and external environment and anticipate associated phenomena, as the data turn into knowledge that can be used for prediction later. Thus, this knowledge becomes a great asset in companies' hands. This is precisely the objective of data mining. But with the production of a large amount of data and knowledge at a faster pace, the authors are now talking about Big Data mining. For this reason, the authors’ proposed works mainly aim at solving the problem of volume, veracity, validity and velocity when classifying Big Data using distributed and parallel processing techniques. So, the problem that the authors are raising in this work is how the authors can make machine learning algorithms work in a distributed and parallel way at the same time without losing the accuracy of classification results. To solve this problem, the authors propose a system called Dynamic Distributed and Parallel Machine Learning (DDPML) algorithms. To build it, the authors divided their work into two parts. In the first, the authors propose a distributed architecture that is controlled by Map-Reduce algorithm which in turn depends on random sampling technique. So, the distributed architecture that the authors designed is specially directed to handle big data processing that operates in a coherent and efficient manner with the sampling strategy proposed in this work. This architecture also helps the authors to actually verify the classification results obtained using the representative learning base (RLB). In the second part, the authors have extracted the representative learning base by sampling at two levels using the stratified random sampling method. This sampling method is also applied to extract the shared learning base (SLB) and the partial learning base for the first level (PLBL1) and the partial learning base for the second level (PLBL2). The experimental results show the efficiency of our solution that the authors provided without significant loss of the classification results. Thus, in practical terms, the system DDPML is generally dedicated to big data mining processing, and works effectively in distributed systems with a simple structure, such as client-server networks.

Findings

The authors got very satisfactory classification results.

Originality/value

DDPML system is specially designed to smoothly handle big data mining classification.

Details

Data Technologies and Applications, vol. 56 no. 4
Type: Research Article
ISSN: 2514-9288

Keywords

1 – 9 of 9
Per page
102050