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Article
Publication date: 1 December 2002

Mohini Singh

E‐services are important in B2C e‐commerce for managing customer relations and enhancing sales. In the electronic world the customer and the merchant do not meet…

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Abstract

E‐services are important in B2C e‐commerce for managing customer relations and enhancing sales. In the electronic world the customer and the merchant do not meet face‐to‐face, and the clients are more discerning with increased options and solutions available to them online. With the click of a mouse a customer can find another provider. As customers embrace e‐commerce their expectations about service, support, and how they make purchases are changing. Services to customers offered electronically to enhance their online shopping experience include search support, e‐response to customer queries, orders and transactions, e‐payment, e‐transaction record management, e‐assurance and trust, e‐help and other online support in the B2C e‐space. This paper discusses the role of e‐services in B2C e‐commerce and how they can be applied to enhance the online customer shopping experience. Findings of two research projects that shed some light on both business and customer perspectives of the role of e‐services in the B2C e‐commerce are launched in this paper.

Details

Managing Service Quality: An International Journal, vol. 12 no. 6
Type: Research Article
ISSN: 0960-4529

Keywords

Book part
Publication date: 30 November 2020

Amit Kumar Srivastava, Anviti Gupta and Shailja Dixit

The essence of responsibility in leadership can help to integrate course of action of policy makers and Corporate Social Responsibility (CSR). This will augment…

Abstract

The essence of responsibility in leadership can help to integrate course of action of policy makers and Corporate Social Responsibility (CSR). This will augment meaningfulness of the humanity in human in the present era of isolationism, when everyone is becoming the part of the race. However, the precise criterion of different contexts of behaviour for Corporate Social Performance (CSP) that the pioneers or leaders understood and demonstrate the accountability is uncertain. This ambiguity and multiple dimensions of responsible leadership (RL) present in the current literature are concurring. Gaps identified indicates that there should be a methodical research on the impact of such leadership on the societal and firm level of outcomes. By following interpretivism approach in research, this paper relies on the content analysis of speeches, welcome stories, biographies and recorded interviews of selected business leaders and entrepreneurs in India. This research study identifies four different dimensions of orientation that leaders practice while fulfilling their responsibility and envisioning CSR. The limitation of this study is that it tries to map the leader's orientation under a cultural spectrum, but its findings still provide major insights for the future perspective of research based on the RL matrix model. The outcome of this study will be useful for the leaders to recognise the dimensions of responsible leadership for creating value addition in their style and practices. The model identified envisages practical implications of the corporate social responsibility theory.

Details

CSR in an age of Isolationism
Type: Book
ISBN: 978-1-80043-268-0

Keywords

Article
Publication date: 1 January 1992

Amrik S. Sohal and Mohini Singh

Advanced Manufacturing Technologies (AMTs) present a majorchallenge for managers; that is, the successful adoption andimplementation of AMT and the translating of…

Abstract

Advanced Manufacturing Technologies (AMTs) present a major challenge for managers; that is, the successful adoption and implementation of AMT and the translating of technical benefits into business benefits in the marketplace. There are many factors that are critical to achieving this success. The authors discuss the key success factors and highlight some of the common problems experienced by firms during the planning and implementation of AMT.

Details

Logistics Information Management, vol. 5 no. 1
Type: Research Article
ISSN: 0957-6053

Keywords

Article
Publication date: 22 March 2011

Kanishka Karunasena, Hepu Deng and Mohini Singh

This paper aims to present a case study on the public value of the e‐Sri Lanka program. Four major dimensions of public value creation through e‐government including the…

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Abstract

Purpose

This paper aims to present a case study on the public value of the e‐Sri Lanka program. Four major dimensions of public value creation through e‐government including the delivery of public services, the achievement of outcomes, the development of trust, and the effectiveness of public organizations are considered in evaluating the performance of the e‐Sri Lanka program. The progress of e‐Sri Lanka program is evaluated, and the potential areas for improvement in the development of e‐government in Sri Lanka are identified.

Design/methodology/approach

Existing methodologies for evaluating the public value of e‐government have been critically analyzed. The need for extending existing methodologies for better assessing the performance of e‐government is discussed. Consequently, an extended conceptual framework is developed for evaluating the public value of e‐government. Various national survey data in Sri Lanka on e‐government development are used for conducting the empirical analysis on the performance of the e‐Sri Lanka program.

Findings

The study reveals that the public value of e‐government in Sri Lanka is unsatisfactory in all the dimensions of public value generation. It shows that the proposed framework is effective in facilitating the identification of public value of e‐government in Sri Lanka. Furthermore, the study shows that the lack of e‐services, the security threat to public information in public organizations, the low adoption of information and communication technologies in government, and the low uptake of available e‐government initiatives are the key reasons for such a poor performance in e‐government.

Practical implications

The proposed framework can be used for evaluating the public value of e‐government. It provides individual governments with an effective means for better understanding the impact of their e‐government efforts on their citizens and societies, leading to better policies and strategies being made for the continuous development of e‐government.

Originality/value

The proposed framework would be the first approach in examining the public value of e‐government by considering all the dimensions of public value creation. It is the first in‐depth study of public value creation through e‐government in Sri Lanka. Such a study is significant to Sri Lanka giving that its e‐government development is at a crucial stage supported by various international aid organizations.

Details

Transforming Government: People, Process and Policy, vol. 5 no. 1
Type: Research Article
ISSN: 1750-6166

Keywords

Article
Publication date: 5 October 2015

Fang Zhao, Joseph Wallis and Mohini Singh

– The purpose of this paper is to capture and understand the nature of the relationship between e-government development and the digital economy.

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Abstract

Purpose

The purpose of this paper is to capture and understand the nature of the relationship between e-government development and the digital economy.

Design/methodology/approach

Drawing on the Technology Acceptance Model and Fountain’s technology enactment theory, a multidimensional research model was developed. The model was tested empirically through an international study of 67 countries using reputable archival data, primarily including the UN’s e-government survey and the Economist Intelligence Unit’s digital economy rankings.

Findings

The empirical findings indicate a strong positive reciprocal (two-way) relationship between e-government development and the digital economy. This finding provides empirical evidence to support the general notion of “co-evolution” between technology and organisations. The study also finds that along with social, economic, political, technological and demographic factors, certain national cultural characteristics have significant effects on the digital economy and e-government development.

Research limitations/implications

Relying on archival global data sets, this study is constrained by the coverage and formulation of the data set indices, the sample size (67 countries), and the impossibility of detecting errors that may occur in the process of data collection. Therefore, caution should be taken when making generalisations about the findings of this study.

Originality/value

The paper addresses a deficit of empirical research that is supported by sound and established theories to explain short-term dynamics and the long-term impact of the digital economy on public administration. The study contributes to a more accurate and comprehensive understanding of the dynamic relationship between e-government development and the digital economy.

Content available
Article
Publication date: 22 March 2011

Alexander Prosser

498

Abstract

Details

Transforming Government: People, Process and Policy, vol. 5 no. 1
Type: Research Article
ISSN: 1750-6166

Article
Publication date: 5 February 2018

Adarsh Anand, Mohini Agarwal, Deepti Aggrawal and Ompal Singh

Today, a firm’s major concern is to know the way in which an innovation is adopted in the marketplace. The purpose of this paper is to focus on the two-stage nature of…

Abstract

Purpose

Today, a firm’s major concern is to know the way in which an innovation is adopted in the marketplace. The purpose of this paper is to focus on the two-stage nature of diffusion process in which the time lag between people being informed and their act of making final purchase is considered.

Design/methodology/approach

The paper discusses an approach based on the time lag for modeling awareness and adoption process as two separate and yet connected processes. Varying forms of time lag (constant, deterministic or random) have been considered while modeling the required framework. Furthermore, an equivalence approach has been shown between the present framework and the two well-known and established approaches of infinite queuing theory and hazard rate function.

Findings

The results are verified on sales data of two different consumer durables and it show good prediction capability of proposed models in capturing the real-life scenario. Further, the equivalence approach helps us to quantify such scenarios which were difficult to be modeled with any one particular approach. Further, the possibility of capturing different market scenarios by studying various distribution functions has been identified.

Research limitations/implications

The proposed methodology is based on a two-stage adoption process. The same can be extended to a multi-stage adoption process as in today’s competitive environment. “Motivation” is one such factor that is highly important which can be considered in some later studies. In future, the authors wish to study the multi-stage adoption process considering the different forms of time lag function.

Practical implications

The equivalence approach discussed in the paper can help to cater the possibility of capturing different market scenarios by studying various distribution functions.

Originality/value

The proposed approach helps to cater the time lag between awareness and adoption process and develop different mean value functions to account for the manner in which sales are happening under different circumstances. The proposed methodical approach can also help decision makers in managing their available resources in a prudent manner.

Details

Journal of Advances in Management Research, vol. 15 no. 1
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 18 November 2021

Adarsh Anand, Subhrata Das, Mohini Agarwal and Shinji Inoue

In the current market scenario, software upgrades and updates have proved to be very handy in improving the reliability of the software in its operational phase. Software…

Abstract

Purpose

In the current market scenario, software upgrades and updates have proved to be very handy in improving the reliability of the software in its operational phase. Software upgrades help in reinventing working software through major changes, like functionality addition, feature enhancement, structural changes, etc. In software updates, minor changes are undertaken which help in improving software performance by fixing bugs and security issues in the current version of the software. Through the current proposal, the authors wish to highlight the economic benefits of the combined use of upgrade and update service. A cost analysis model has been proposed for the same.

Design/methodology/approach

The article discusses a cost analysis model highlighting the distinction between launch time and time to end the testing process. The number of bugs which have to be catered in each release has been determined which also consists of the count of latent bugs of previous version. Convolution theory has been utilized to incorporate the joint role of tester and user in bug detection into the model. The cost incurred in debugging process was determined. An optimization model was designed which considers the reliability and budget constraints while minimizing the total debugging cost. This optimization was used to determine the release time and testing stop time.

Findings

The proposal is backed by real-life software bug dataset consisting of four releases. The model was able to successfully determine the ideal software release time and the testing stop time. An increased profit is generated by releasing the software earlier and continues testing long after its release.

Originality/value

The work contributes positively to the field by providing an effective optimization model, which was able to determine the economic benefit of the combined use of upgrade and update service. The model can be used by management to determine their timelines and cost that will be incurred depending on their product and available resources.

Details

International Journal of Quality & Reliability Management, vol. 39 no. 3
Type: Research Article
ISSN: 0265-671X

Keywords

Article
Publication date: 1 August 2016

Adarsh Anand, Mohini Agarwal, Deepti Aggrawal and Ompal Singh

Mathematical modeling of innovation diffusion is a constantly evolving field within marketing science. The diffusion process explains the dispersion of an innovation among…

Abstract

Purpose

Mathematical modeling of innovation diffusion is a constantly evolving field within marketing science. The diffusion process explains the dispersion of an innovation among potential buyers. Prior research on innovation diffusion has been based on modeling varied aspects of real life situations in marketing. One such aspect is studying the adoption process depending on the awareness and motivation level among the customers. Awareness is having knowledge of an innovation, whereas motivation is about the perception of an individual. In line with these aspects, the purpose of this paper is to propose a unified modeling framework for the adoption process based on the awareness and motivation about the product.

Design/methodology/approach

When the market is well informed about the product, there are some people who are motivated and some, who have adopted the product earlier and shall now influence others in their buying behavior. It is very much similar to queuing system in which some units are waiting in a queue for the service, service for some units are being processed and some units have already been served. This analogous behavior between two approaches has motivated the use of infinite server queuing theory in modeling adoption of the product. Thereafter, the authors have proposed a unification scheme to model different market scenarios.

Findings

From analyzing the values of comparison criteria, it was not clear that which among them is performing best. Thus there was a need for an approach which can judiciously find the optimal model. For this very purpose the authors applied distance-based approach which was capable of computing the optimal model based on the distance of attribute value from the optimal. The analysis performed on two real life sales data sets depict that model in which awareness is following logistic pattern and motivation and adoption are following a constant pattern is ranked one.

Research limitations/implications

The idea has been validated on product. It would be interesting to know how the methodology works on service.

Originality/value

The modeling framework discussed in this paper can be helpful to know from the available set of alternative, which among them is performing better in capturing the spread of the product in the market. The proposed framework offer some managerial guidance by highlighting the unusual aspects of diffusion process and also present an approach to judge the best among a set of different models.

Details

Journal of Advances in Management Research, vol. 13 no. 2
Type: Research Article
ISSN: 0972-7981

Keywords

Book part
Publication date: 19 July 2022

Ayesha Banu

Introduction: The Internet has tremendously transformed the computer and networking world. Information reaches our fingertips and adds data to our repository within a…

Abstract

Introduction: The Internet has tremendously transformed the computer and networking world. Information reaches our fingertips and adds data to our repository within a second. Big data was initially defined as three Vs, where data come with greater variety, increasing volumes and extra velocity. Big data is a collection of structured, unstructured and semi-structured data gathered from different sources and applications. It has become the most powerful buzzword in almost all the business sectors. The real success of any industry can be counted based on how the big data is analysed, potential knowledge is discovered and productive business decisions are made. New technologies such as artificial intelligence and machine learning have added more efficiency to storing and analysing data. This big data analytics (BDA) becomes more valuable to those companies, focusing on getting insight into customer behaviour, trends and patterns. This popularity of big data has inspired insurance companies to utilise big data at their core systems and advance the financial operations, improve customer service, construct a personalised environment and take all possible measures to increase revenue and profits.

Purpose: This study aims to recognise what big data stands for in the insurance sector and how the application of BDA has opened the door for new and innovative changes in the insurance industry.

Methodology: This study describes the field of BDA in the insurance sector, discusses the benefits, outlines tools, architectural framework, the method, describes applications in general and specific and briefly discusses the opportunities and challenges.

Findings: The study concludes that BDA in insurance is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however, there remain challenges to overcome.

Details

Big Data: A Game Changer for Insurance Industry
Type: Book
ISBN: 978-1-80262-606-3

Keywords

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