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Article
Publication date: 8 July 2014

Zahir Irani and Muhammad Kamal

191

Abstract

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Journal of Enterprise Information Management, vol. 27 no. 4
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 31 May 2013

Poonam Garg and Atul Garg

Many retailers in India have decided to adopt one or another enterprise resource planning (ERP) system to improve their businesses, but implementing an ERP system can be a…

5376

Abstract

Purpose

Many retailers in India have decided to adopt one or another enterprise resource planning (ERP) system to improve their businesses, but implementing an ERP system can be a demanding venture. ERP implementation has always been an intricate process and is one of the challenges of the retail sector. There have been many obstacles seen in implementing ERP successfully. According to Standish Group's report, around 75 per cent of the ERP projects are classified as failures. The purpose of this paper is to focus on the process of identifying, analyzing and prioritizing the failure factors of ERP implementation using cause‐effect and Pareto analysis.

Design/methodology/approach

Empirical data were collected via a survey questionnaire/interview technique. The questionnaires were distributed to practitioners like project sponsors, project managers, implementation consultants and team members who had been involved/implementing/using ERP in retail sector.

Findings

Results suggest that 9 critical failure items namely Inadequate resources, Poor User involvement, Users' resistance to change, High Attrition rate of project team members, Lack of top management commitment, Poor project management, Inadequate project team composition, Ineffective organizational change management and Unrealistic project scheduling have a high impact on ERP implementation and therefore deserve serious attention in the process of ERP implementation.

Originality/value

This paper identifies and prioritizes the critical failure factors of ERP implementation in Indian retail sector. The awareness about these critical failure items may help the decision makers in formulating a better strategy for ERP implementation in Indian retail.

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Article
Publication date: 8 July 2014

Poonam Garg and Atul Garg

The purpose of this paper is to explore the factors influencing the enterprise resource planning (ERP) implementation success in Indian retail sector. Additionally, the study also…

2965

Abstract

Purpose

The purpose of this paper is to explore the factors influencing the enterprise resource planning (ERP) implementation success in Indian retail sector. Additionally, the study also addresses the relationship between factors that influence ERP implementation and the success of ERP implementation empirically. Strategic, Technological, People and Project management are the examined factors.

Design/methodology/approach

Empirical data were collected through survey questionnaire from practitioner like project sponsors, project managers, implementation consultants and team members who were involved in ERP implementation in retail sector.

Findings

The results of the study has empirically verified that Strategic, Technological, People and Project management factors are positively influencing ERP implementation success. All four hypotheses were supported by results of the study.

Practical implications

This study will provide valuable insights to researchers, practicing managers and those who are planning to implement ERP in retail organization.

Originality/value

Very few empirical studies have been performed to investigate the influencing factor of ERP implementation and types of relationships between factors that influence ERP implementation and the success of ERP implementation in Indian retail sector. This study examines how Strategic, Technological, People, and Project management factors are influencing ERP implementation success in retail sector of India. Therefore, the research can make a useful contribution.

Details

Journal of Enterprise Information Management, vol. 27 no. 4
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 26 July 2022

Atul Rawat and Chandra Prakash Garg

Rising energy demand and the quest for achieving climate change targets have been pushing emerging markets like India to bolster the natural gas share in their energy mix. The…

278

Abstract

Purpose

Rising energy demand and the quest for achieving climate change targets have been pushing emerging markets like India to bolster the natural gas share in their energy mix. The country has set an aggressive target of increasing natural gas share in the energy mix to 15% by 2030. The purpose of this study is to acknowledge the need for adopting and developing strategies for natural gas business market development to ensure a reliable supply at an affordable price. Hence, this study explores the natural gas market business development strategies and assesses them through cause/effect analysis.

Design/methodology/approach

This study proposed an integrated framework based on the Grey concept and Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique to assess and determine the interdependence among the natural gas business market development strategies by cause-and-effect group analysis. The application of Grey theory reduced the uncertainty and subjectivity involved in the decision-making process. Later, sensitivity analysis is also performed to check the robustness of the framework.

Findings

The natural gas business market development strategies are identified through a systematic literature search and contributions from industry experts. The findings of this study highlight the importance of developing pipeline and storage infrastructure facilities, ensuring supply security through long-term imports and overseas investment, implementing free-market-based pricing, simplification and standardization of regulatory processes at state and national levels, etc., for the development of the natural gas market development in India.

Research limitations/implications

This study acknowledges the natural gas market development strategies and evaluated them into cause-and-effect groups which are limited to Indian context. All evaluations in the Grey-based DEMATEL method were made in this study based on the decision team inputs which limits the generalization to other geographies. Moreover, the opinions of the experts can be subjective and differ. The selection of the experts is done through non-probability sampling process.

Practical implications

This study could support the government and decision-makers in formulating the appropriate strategies to develop the domestic natural gas market. The cause-and-effect relationships are helpful for the companies, management, government, regulators and other stakeholders to understand the criticality of the causal strategies that must be implemented for developing the favorable natural gas business market scenario.

Originality/value

This study explores and evaluates the strategies that successfully bolster the natural gas business demand in India using Grey-based DEMATEL framework. By focusing on those critical strategies, relevant stakeholders would ensure a reliable natural gas supply at affordable prices.

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Case study
Publication date: 14 December 2021

Mohammad Rishad Faridi and Saloni Sinha

Appendix 1: Comic Frames A At the end of the case study discussion, students will able to as follows: Explain various growth strategies as a potential unicorn with the exponential…

Abstract

Learning outcomes

Appendix 1: Comic Frames A At the end of the case study discussion, students will able to as follows: Explain various growth strategies as a potential unicorn with the exponential growth mindset rather than linear growth mindset through adaptation of Massive Transformative Purpose (MTP) and Moonshot Thinking (MT). Demonstrate innovative and creative plans and ideas, with the ability to scale up in the circular economy. Review and summarize the power of Collaborative Innovation (CI). Compare and contrast different ways in dealing with Hedgehog and Fox style of leadership into the business. Appendix 2: Comic Frames B At the end of the case study discussion, students will able to as follows: Act with a growth strategy as a potential unicorn with the exponential growth mindset rather than linear growth mindset through adaptation of MTP and MT. Simulate innovative and creative plans and ideas, with the ability to scale up in the circular economy. Assess and leverage the power of CI. Decide and differentiate in dealing with Hedgehog and Fox style of leadership into the business.

Case overview/synopsis

Ankit Tripathi, was a compassionate 22-year-old, the typical lad from New Delhi, India, who seemed driven to change the world. His elder brother Atul Tripathi, a young, creative 25-year-old, was sat there next to him, beaming with pride and gratitude. Both brothers, being mechanical engineering graduates, had experienced the advancement of technology at the cost of Mother Earth. It pained them no end. It was the reason that Atul had refused to serve as an engineer in a government institution after graduating. The parents were shocked when Ankit followed suit. The brothers were poles apart in their personality and temperament, and it was rare to see them agree on anything in this way. Yet, they agreed to disagree with their parents and ventured into becoming entrepreneurs with a purpose and passion to salvage the environment. They had a vision, but without a proper roadmap, it would certainly be a tough game. Nevertheless, they boldly embarked upon their journey and established their start-up “Uneako” in 2019. “Uneako” was a calculated risk, taking into account family resistance (parents’ attitude/perception), personal conflicts (psychological), financial limitations (resources), shallow expertise (professionalism), social concern acceptability and low awareness (environment), government regulations (legalities/approvals), conflicts between brothers (personality issues), etc. Being from a nonbusiness family, the brothers had defied the wave of obstacles and challenges in daring to start their own business, putting at stake the hard-earned money of their father, Satendra Tripathi. Amidst so much social mockery, would Atul and Ankit succumb and become a laughing stock or would they find something that they could live and die for?

Complexity Academic Level

Appendix 1: Comic Frames A: This case has been particularly focused on undergraduate level students pursuing business or commerce programs. Especially those studying core courses, for example, entrepreneurial and strategic management. Appendix 2: Comic Frames B: This case has been particularly focused postgraduate-early stage or higher level students pursuing business or commerce programs. Particularly those specializing in entrepreneurial and strategic management courses. Also, can be taught in the entrepreneurial or start-up workshops.

Supplementary materials

www.pewresearch.org/topics/generation-z/ Paulynice. J.P., (2019) “From Idea to Reality: An Entrepreneur’s Guide to Meaningful Business Growth” Paulynice Consulting Group. Hardy.D., (2015) “The Entrepreneur Roller Coaster: It’s Your Turn to Join The Ride” Success Publishers. Wadhwa.V., Amla.I., Salkever.A., (2020) “From Incremental to Exponential” Berrett-Koehler Publishers. Sustainable Entrepreneurship: Business Success through Sustainability edited by Christina Weidinger, Franz Fischler, René Schmidpeter, Springer 2014. Teaching notes are available for educators only.

Subject code

CSS 3: Entrepreneurship.

Details

Emerald Emerging Markets Case Studies, vol. 11 no. 4
Type: Case Study
ISSN: 2045-0621

Keywords

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Article
Publication date: 10 December 2021

Atul Raj, Joy Prakash Misra, Dinesh Khanduja and Vikas Upadhyay

The purpose of this study is to examine the postprocessed wire tool surface using scanning electron microscopy and find out the streamlined conditions of input process variables…

117

Abstract

Purpose

The purpose of this study is to examine the postprocessed wire tool surface using scanning electron microscopy and find out the streamlined conditions of input process variables using multi-objective optimization techniques to get minimum wire wear values.

Design/methodology/approach

A federated mode of response surface methodology (RSM) and artificial neural network (ANN) is used to optimize the process variables during the machining of a nickel-based superalloy.

Findings

The study explores that with the rise in spark-off time and spark gap voltage, the rate of wire tool consumption also escalates.

Originality/value

Most of the researchers used the RSM technique for the optimization of process variables. The RSM generates a second-order regression model during the modeling and optimization of a manufacturing process whose major limitation is to fit the collected data to a second-order polynomial. The leading edge of ANN on the RSM is that it has comprehensive approximation capability, i.e. it can approximate virtually all types of nonlinear functions, including quadratic functions also.

Details

International Journal of Structural Integrity, vol. 13 no. 2
Type: Research Article
ISSN: 1757-9864

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Article
Publication date: 4 December 2017

Atul Mehta and Joysankar Bhattacharya

The purpose of this paper is to examine the direct (microcredit), medium-direct (bank credit), and indirect (through economic growth) effect of financial sector development (FSD…

496

Abstract

Purpose

The purpose of this paper is to examine the direct (microcredit), medium-direct (bank credit), and indirect (through economic growth) effect of financial sector development (FSD) on rural-urban consumption inequality (RUCI) in India using state-wise annual data from 1999-2000 to 2011-2012.

Design/methodology/approach

A panel data analysis for a sample of 15 major Indian states using the generalized method of moments estimators provides an empirical evidence for the direct (microcredit), medium-direct (bank credit), and indirect (economic growth) effect of FSD on RUCI.

Findings

FSD is pro-urban in India resulting in a declining rural-urban consumption ratio (RUCR) and increasing RUCI. The negative effect of FSD on RUCR is greatest through the medium-direct channel followed by the indirect and direct channels.

Research limitations/implications

The study questions the social banking initiatives of the government in rural areas where more than 80 percent of the poor reside. There is a need for restructuring financial inclusion programs with a shift in their focus on rural areas and an improved mechanism to target the poor.

Originality/value

The paper proposes that formal financial services by banks are primarily availed by non-poor and urban population and hence acts as a medium-direct channel whereas the semi-formal financial services by microfinance institutions specifically target the rural poor and act as a direct channel to affect the poor. It is the first ever study to use state-wise data on microcredit disbursed under Self-help Group Bank Linkage Program to assess the direct impact of FSD on RUCI.

Details

International Journal of Social Economics, vol. 44 no. 12
Type: Research Article
ISSN: 0306-8293

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Article
Publication date: 15 January 2020

Atul Mehta and Joysankar Bhattacharya

The study aims to understand how various channels of financial sector development affect the income inequality across Indian states and whether the inequality widening or…

352

Abstract

Purpose

The study aims to understand how various channels of financial sector development affect the income inequality across Indian states and whether the inequality widening or narrowing hypothesis of financial development may be confirmed at a sub-national level.

Design/methodology/approach

Using state-wise annual data for the period from 1999-2000 to 2011-2012, a panel data analysis using generalised method of moments (GMM) estimator is conducted for a sample of 15 major Indian states.

Findings

The results confirm the inequality widening hypothesis of financial sector development in India. While each channel affects different section of the population in a different way, their overall effect on the income inequality remains unfavourable.

Originality/value

This paper is the first ever study to provide a comparative empirical evidence for the effect of each channel of financial development on the income inequality in India. The results provide significant insights to the policymakers, practitioners and academia in the financial sector with respect to the efficiency of each channel of financial development in bridging the gap between the poor and rich.

Details

Journal of Financial Economic Policy, vol. 12 no. 4
Type: Research Article
ISSN: 1757-6385

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Article
Publication date: 1 September 2005

Atul Gupta and Rex Hammond

The objective of this study is to gather information about information technology (IT) related security issues in small firms in both manufacturing and service.

9264

Abstract

Purpose

The objective of this study is to gather information about information technology (IT) related security issues in small firms in both manufacturing and service.

Design/methodology/approach

Despite its widely acknowledged importance, the academic research in the area of information systems security issues for small businesses is almost negligible. To fill this gap, a questionnaire was mailed to 1,000 small business owners in Lynchburg, Virginia, USA, and 138 valid responses were received.

Findings

The results of this study indicate that the small business owners may have procedures and policies in place and may use technologies to counteract the security threat, but this research raised doubts about their effectiveness.

Originality/value

The data collected through this research will help small business organizations in planning, training, and exploitation of IT.

Details

Information Management & Computer Security, vol. 13 no. 4
Type: Research Article
ISSN: 0968-5227

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Article
Publication date: 10 January 2023

Atul Rawal and Bechoo Lal

The uncertainty of getting admission into universities/institutions is one of the global problems in an academic environment. The students are having good marks with highest…

318

Abstract

Purpose

The uncertainty of getting admission into universities/institutions is one of the global problems in an academic environment. The students are having good marks with highest credential, but they are not sure about getting their admission into universities/institutions. In this research study, the researcher builds a predictive model using Naïve Bayes classifiers – machine learning algorithm to extract and analyze hidden pattern in students’ academic records and their credentials. The main purpose of this research study is to reduce the uncertainty for getting admission into universities/institutions based on their previous credentials and some other essential parameters.

Design/methodology/approach

This research study presents a joint venture of Naïve Bayes Classification and Kernel Density Estimations (KDE) to predict the student’s admission into universities or any higher institutions. The researcher collected data from the Kaggle data sets based on grade point average (GPA), graduate record examinations (GRE) and RANK of universities which are essential to take admission in higher education.

Findings

The classification model is built on the training data set of students’ examination score such as GPA, GRE, RANK and some other essential features that offered the admission with a predictive accuracy rate 72% and has been experimentally verified. To improve the quality of accuracy, the researcher used the Shapiro–Walk Normality Test and Gaussian distribution on large data sets.

Research limitations/implications

The limitation of this research study is that the developed predictive model is not applicable for getting admission into all courses. The researcher used the limited data attributes such as GRE, GPA and RANK which does not define the admission into all possible courses. It is stated that it is applicable only for student’s admission into universities/institutions, and the researcher used only three attributes of admission parameters, namely, GRE, GPA and RANK.

Practical implications

The researcher used the Naïve Bayes classifiers and KDE machine learning algorithms to develop a predictive model which is more reliable and efficient to classify the admission category (Admitted/Not Admitted) into universities/institutions. During the research study, the researcher found that accuracy performance of the predictive Model 1 and that of predictive Model 2 are very close to each other, with predictive Model 1 having truly predictive and falsely predictive rate of 70.46% and 29.53%, respectively.

Social implications

Yes, it is having a significant contribution for society; students and parents can get prior information about the possibilities of admission in higher academic institutions and universities.

Originality/value

The classification model can reduce the admission uncertainty and enhance the university’s decision-making capabilities. The significance of this research study is to reduce human intervention for making decisions with respect to the student’s admission into universities or any higher academic institutions, and it demonstrates many universities and higher-level institutions could use this predictive model to improve their admission process without human intervention.

Details

Journal of Indian Business Research, vol. 15 no. 2
Type: Research Article
ISSN: 1755-4195

Keywords

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