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Article
Publication date: 6 February 2017

Rajesh Attri and Sandeep Grover

The purpose of this paper is to ascertain and understand the relationship dynamics among the quality-enabled factors (QEFs) affecting the initiation stage of production…

Abstract

Purpose

The purpose of this paper is to ascertain and understand the relationship dynamics among the quality-enabled factors (QEFs) affecting the initiation stage of production system life cycle (PSLC). This study presents an approach for refining the decision making in the initiation stage of the production system.

Design/methodology/approach

In this paper, ten QEFs have been identified for the initiation stage of PSLC. An interpretive structural modelling (ISM) approach has been utilized to cultivate an organizational association among these identified QEFs. The results of ISM approach are used as an input to fuzzy Matriced’ Impacts Croisés Multiplication Appliquée á un Classement (MICMAC) analysis, to identify the driving and dependence power of QEFs.

Findings

The key consequences of this paper are to prioritize the strategic QEFs in reducing the risks linked with initiation stage of production system. The integrated model obtained by ISM-fuzzy MICMAC illustrates that there exists two clusters of QEFs, one is having high driving power and low dependency power which requires extreme consideration and of strategic importance (such as honesty and sincerity in collecting and analyzing field data) and other is having high dependence power and low driving power and are resultant effects (such as strategic decision-making ability).

Research limitations/implications

The integrated ISM-fuzzy MICMAC model developed is not statistically corroborated; consequently structural equation modelling (SEM) approach which is also known as linear structural relationship approach could be utilized to examine the validity of developed hypothetical model.

Originality/value

This is first study to identify ten QEFs in initiation stage of production system and further, to deploy integrated ISM-fuzzy MICMAC approach to recognize and categorize the QEFs influencing the initiation stage of production system.

Details

Benchmarking: An International Journal, vol. 24 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 6 February 2017

Bhupender Singh, Sandeep Grover and Vikram Singh

The purpose of this paper is to generate awareness of contributions made by benchmarking toward building performance of Indian service industries in globally market…

Abstract

Purpose

The purpose of this paper is to generate awareness of contributions made by benchmarking toward building performance of Indian service industries in globally market. Ranking of Benchmarking is done on the basis of their application which give confidence for the managers to adopt in their Industries so that they may become best in their field.

Design/methodology/approach

Methodology consists of three phase: define, phase include definitions, factors of benchmarking as literature outcomes, questionnaire survey and outcome of survey. In the second phase, analysis of collected data and applications of multi-criteria decision-making approaches [technique for order preference by similarity to ideal solution (TOPSIS) and analytical network process (ANP)] are used. The last phase includes comparison of results which gives validation in similarities of ranking obtained.

Findings

The study identifies seven different benchmarking techniques used for service industries. Using TOPSIS and ANP approaches shows similarity that external benchmarking, performance benchmarking and internal benchmarking are the first three ranks that give basis for several critical success factors s, namely, planning, reliability, standardization, time behavior, usability, etc., as part of benchmarking using in service industries.

Research limitations/implications

The limitation is the assumptions made by multi-criteria decision-making approaches which may effect the analysis of the study as these are taken theoretically.

Originality/value

This study is a first attempt to find similarities in both techniques while comparing benchmarking in Indian service industries.

Article
Publication date: 1 February 2016

Victor Gambhir, N C Wadhwa and Sandeep Grover

The paper aims to discuss current Technical Education scenarios in India. It proposes modelling the factors affecting quality in a technical institute and then applying a…

Abstract

Purpose

The paper aims to discuss current Technical Education scenarios in India. It proposes modelling the factors affecting quality in a technical institute and then applying a suitable technique for assessment, comparison and ranking.

Design/methodology/approach

The paper chose graph theoretic approach for quantification of quality-enabled model. Further, the paper has validated the approach by taking examples of institutions and applying the methodology.

Findings

The paper provides a systematic methodology to build a quality model for quantification of various factors in a technical institute. The qualitative effect represented in form of a single numerical index is a novel method for such representations. The illustrated methodology in the paper is equally useful for comparison and ranking of a set of institutes.

Research limitations/implications

Because of the chosen factors in the approach, the methodology may not be equally suitable based on type and size of institute and the geographical location.

Practical implications

The paper includes demonstration on application of methodology for comparing the quality in a quantitative manner. The dynamic model allows changing factors and/or their effects as per requirement.

Social implications

In future, the methodology can be taken up by government/regulatory bodies and can convey the comparisons of institutions to stakeholders including students and parents.

Originality/value

This paper attempts to develop a novel method for comparing quality that can be used by accreditation bodies.

Details

Quality Assurance in Education, vol. 24 no. 1
Type: Research Article
ISSN: 0968-4883

Keywords

Article
Publication date: 1 July 2006

Sandeep Grover, V.P. Agrawal and I.A. Khan

To represent the effect of ‘human factors in total quality management (TQM) environment’ in terms of a single numerical index by considering their inheritances and interactions.

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Abstract

Purpose

To represent the effect of ‘human factors in total quality management (TQM) environment’ in terms of a single numerical index by considering their inheritances and interactions.

Design/methodology/approach

Various human factors affecting the TQM culture in an organization are identified and discussed for the sub factors affecting them. These factors are interacting with each other and their overall effect helps an organization in attaining TQM enabled needs. The paper attempts to represent the overall effect of human factors quantitatively by developing a mathematical model using graph theoretic approach. In this approach, interaction among identified human factors is represented through digraph, matrix model and a multinomial.

Findings

The extent of human aspects present in an organization, conducive to TQM culture is represented in terms of the “human index”. It provides an insight into the human factors at system and subsystem level. The developed procedure may be useful for self‐analysis and comparison among organizations.

Research limitations/implications

Since, human behaviour is difficult to predict, so are the human factors. The paper considers general factors, which may vary depending on type of organization, size of organization and geographical location. There is a scope of research in factor specific organizations.

Practical implications

It provides a useful methodology for organizations to assess human aspects and improve upon therein. Procedure for stepwise application of methodology is given with example that may help an industry to implement it.

Originality/value

The paper attempts to quantify the intangibles through systematic approach and is of value to industries to improve upon their work environment.

Details

Benchmarking: An International Journal, vol. 13 no. 4
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 17 August 2012

Sanjeev Goyal and Sandeep Grover

Advanced manufacturing system (AMS) offers opportunities for industries to improve their technology, flexibility and profitability through a highly efficient and focused…

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Abstract

Purpose

Advanced manufacturing system (AMS) offers opportunities for industries to improve their technology, flexibility and profitability through a highly efficient and focused approach to manufacturing effectiveness. Selecting a proper AMS is a complicated task for the managers as it involves large tangible and intangible selection attributes. Failure to take right decision in selecting proper AMS alternative may even lead industry to losses. The purpose of this paper, therefore, is to rank the AMS alternatives by using fuzzy grey relational analysis, which will help managers when choosing an appropriate AMS.

Design/methodology/approach

This research proposes a multi‐attribute decision‐making (MADM) method, fuzzy grey relational analysis (FGRA), for AMS selection. The methodology is explained as follows. AMS alternatives and selection attributes will be chosen. The qualitative attributes will be converted into quantitative using fuzzy conversion scale. Then these data will be pre‐processed to normalize every value. This step is done to convert all alternatives into a comparability sequence. According to these sequences a reference sequence (ideal target sequence) is defined. Then, the grey relational coefficient between all comparability sequences and the reference sequence is calculated. Finally, based on these grey relational coefficients, the grey relational grade between the reference sequence and every comparability sequences is calculated. If a comparability sequence translated from an alternative has the highest grey relational grade between the reference sequence and itself, then that alternative will be the best choice. Fuzzy logic is used here to convert linguistic data into crisp score.

Findings

The proposed method is validated and compared by taking two examples from literature. The traditional statistical techniques require large data sets for evaluating attributes while grey theory on the contrary solve the multi attribute decision making problems with small data sets. This methodology will significantly increase the efficiency of decision making and overall competitiveness for manufacturing industries. This approach will motivate more and more industries to invest in AMS.

Practical implications

This method will help managers to weigh the AMS alternatives before actually buying them, which will in turn save money and time. This will build confidence of the top management for investing in costly technology such as AMS.

Originality/value

From time to time, various researchers have proposed various techniques to select the AMS. However, a survey on current evaluation methods shows that they are all less objective, lack accurate data processing, involve large calculations because of their complexity. In this paper, the authors attempt to solve the problem of AMS selection with FGRA, which is more logical, axiomatic, generates results in fewer steps with less calculations and is easy to understand. This paper succeeds in getting AMS alternatives' ranking using fuzzy grey relational analysis.

Details

Grey Systems: Theory and Application, vol. 2 no. 2
Type: Research Article
ISSN: 2043-9377

Keywords

Book part
Publication date: 23 July 2019

Sabyasachi Dasgupta

The length of the debate regarding a new business idea and resource allocation between Ritu Jhajharia, Vinay Chaurasia and Sandeep Poonia on an evening in March 2016, was…

Abstract

The length of the debate regarding a new business idea and resource allocation between Ritu Jhajharia, Vinay Chaurasia and Sandeep Poonia on an evening in March 2016, was enough to make the piping hot pasta go cold. After much deliberation, The Rolling Circle, a Mumbai-based marketing firm concentrated on the digital marketing business arena was born with plans of potentially viable business strategies, blueprints of employee and other key resources' allocations, strategies for client procurement and vesting of some amount of investment money in initial pitches. Yet, in the last two plus years, the company has procured 40 plus clients and are looking to finish their account books with Rs. 1 crore revenue in their banks by 2018. Despite initial financial crunch, the company continued to get businesses. One day in February 2018, the resignation of co-founder Vinay Chaurasia was a blow to the foundation of the company. While clocking their best business so far and continuously growing since its inception, The Rolling Circle is now faced with one of the biggest dilemmas in the company lifecycle: in their line of business, there is neither a constant flow of clients nor a stability in terms of the employees working in the organisation; the founding team is grappling with the glaring strategic question of whether they should recruit high-profile employees in the organisation first and then continue onboarding premium clients, or they should first sign with premium clients and then look out for high-profile employees to serve those clients? Who will wait: the client or the employees?

Article
Publication date: 5 February 2018

Ram Prakash, Sandeep Singhal and Ashish Agarwal

The research paper presents analysis and prioritization of barriers influencing the improvement in the effectiveness of manufacturing system. The purpose of this paper is…

Abstract

Purpose

The research paper presents analysis and prioritization of barriers influencing the improvement in the effectiveness of manufacturing system. The purpose of this paper is to develop an integrated fuzzy-based multi-criteria decision-making (F-MCDM) framework to assist management of the case company in the selection of most effective manufacturing system. The framework helps in prioritizing the manufacturing systems on the basis of their effectiveness affected by the barriers.

Design/methodology/approach

In this paper, on the basis of experts’ opinion, five barriers have been identified in a brain-storming session. The problem of prioritization of manufacturing system is a multi-criteria decision-making (MCDM) problem and hence is solved by using the F-MCDM approach using dominance matrix.

Findings

Manufacturing systems’ effectiveness for Indian industries is influenced by barriers. The prioritization of manufacturing systems depends on qualitative factor decision-making criteria. Among the manufacturing systems, leagile manufacturing system is given the highest priority followed by lean manufacturing system, agile manufacturing system, flexible manufacturing system and cellular manufacturing system.

Research limitations/implications

The selection of an appropriate manufacturing system plays a vital role for sustainable growth of the manufacturing company. In the present work, barriers which influence the effectiveness of manufacturing system have been identified. On the basis of degree of influence of barriers on the effectiveness of the manufacturing system, five alternative manufacturing systems are prioritized. The framework will help the management of the case company to take reasonable decision for the adoption of the appropriate manufacturing system.

Practical implications

The results of the research work are very useful for the manufacturing companies interested in analyzing the alternative manufacturing systems on the basis of their effectiveness and their sensitivity toward various barriers. The management of Indian manufacturing company will take decision to adopt a manufacturing system whose effectiveness is least sensitive toward barriers. Effectiveness of such manufacturing system will improve with time without having retardation due to barriers. With improved effectiveness of the manufacturing system, the manufacturing company would be able to survive with global competition. The result of the present work is based on the inputs from the case company and may vary for the other manufacturing company. In the present work, only five alternative manufacturing systems and five barriers have been considered. To obtain the better result, MCDM approach with more number of alternative manufacturing systems and barriers might be considered.

Originality/value

The research work is based on the fuzzy analytic hierarchy process framework and on the case study conducted by the authors. The work carried out is original in nature and based on the real-life case study.

Details

Benchmarking: An International Journal, vol. 25 no. 1
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 1 July 2022

Paul C. Hong, Mohammed Taj Hejazi, Xiyue Deng and Sandeep Jagani

Having complexity theory as the overarching conceptual rationale, this paper presents a research model that defines external drivers, strategic and internal business…

Abstract

Purpose

Having complexity theory as the overarching conceptual rationale, this paper presents a research model that defines external drivers, strategic and internal business practices and performance outcomes in service firm contexts.

Design/methodology/approach

Using an original survey instrument, the authors empirically examine business process management (1) adopting the mediating roles of shared goal practices and technology imperative practices (2) involving moderating roles of competitive market environments and joint implementation practices.

Findings

In response to dynamic market complexity, firms implement business process management through shared goal practices and technology imperative practices for achieving customer service outcomes. The findings also suggest the moderating roles of competitive pressure and joint implementation practices.

Research limitations/implications

Generalizations here are limited to service firms. Increasing customer service expectations (e.g. simplicity, convenience, visual images and rapid responses) require firms to involve cross-functional work throughout their organizational processes.

Practical implications

In digital environments, business process management requires socio-technological synergy through shared goal practices and technology imperative practices.

Originality/value

Building on a theory-driven research model, a survey instrument provides tools to examine business process management of service firms that sense dynamic market complexity challenges and translate them to achieve desirable customer service outcomes.

Book part
Publication date: 23 July 2019

Abstract

Details

Start-up Marketing Strategies in India
Type: Book
ISBN: 978-1-78756-755-9

Book part
Publication date: 10 December 2018

Christopher Hazlehurst and Keith D. Brouthers

In this chapter, the authors undertake a systematic review of the literature to identify research exploring the use of new information and communication technologies…

Abstract

In this chapter, the authors undertake a systematic review of the literature to identify research exploring the use of new information and communication technologies (ICT). New ICT include the use of the Internet, mobile communications, and social technologies. The authors find that while interest in the area is increasing, especially among marketing and information systems scholars, there seems to be far less research interest among international business (IB) and strategy scholars. This chapter provides a summary of the research that has been done and discusses some potential future research areas that IB and strategy researchers might wish to pursue. Among these projects are investigating the use of ICT as a tool to aid the internationalization process, improve location choice and entry mode decisions, and identify and create a sustainable competitive advantage. The use of ICT in business is pervasive; As research scholars, we need to build these technologies into our theories and research to help managers determine what works and where certain technologies can help create better performing firms.

Details

International Business in the Information and Digital Age
Type: Book
ISBN: 978-1-78756-326-1

Keywords

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