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Article
Publication date: 10 May 2022

Purushottam L. Meena, Rajesh Katiyar and Gopal Kumar

This paper aims to address the supplier selection problem based on a developed framework capturing the essence of the supply chain operations reference (SCOR) model…

Abstract

Purpose

This paper aims to address the supplier selection problem based on a developed framework capturing the essence of the supply chain operations reference (SCOR) model, sustainability and providing services to customers. Specifically, the authors consider planning, manufacturing, delivery, sustainability and customer service attributes to evaluate and select suppliers.

Design/methodology/approach

Relevant literature is reviewed, a framework capturing the essence of major supply chain functions was developed and suitable measurement attributes were identified. An integrated fuzzy analytic hierarchy process and fuzzy technique for order performance by similarity to ideal solution method are employed to obtain the final ranking of the attributes and suppliers. The proposed methodology is illustrated through a real case of an Indian automobile company.

Findings

The authors observed that planning, manufacturing, customer service, sustainability and delivery are preferred in decreasing order to select component suppliers for an automotive company. The impact of suppliers on planning and manufacturing is most important to consider while assessing suppliers. Interestingly, concerns about sustainability and delivery are the least cared factors when selecting suppliers. The top five criteria contain measures of operational efficiency rather than purchasing cost.

Originality/value

This paper proposes and demonstrates a supplier selection framework harmonizing supply chain functions of the SCOR model, sustainability and customers service that adds a valuable wing to literature that expounds on the connection of purchasing strategy to corporate strategy. A case study in an automotive company throws unique and valuable managerial implications for purchasing and supply chain performance.

Details

International Journal of Productivity and Performance Management, vol. 72 no. 8
Type: Research Article
ISSN: 1741-0401

Keywords

Article
Publication date: 25 March 2022

Ratri Parida, Rajesh Katiyar and Kirti Rajhans

Achieving sustainable development in terms of people, prosperity and partnership is the main aspect in any country’s plan for development. This sustainable development has to be…

Abstract

Purpose

Achieving sustainable development in terms of people, prosperity and partnership is the main aspect in any country’s plan for development. This sustainable development has to be achieved in three major dimensions, that is, economic, social and environmental in an integrated, balanced and systematic way. The same is highlighted in the United Nations’ (UN) vision for sustainable development by 2030. The purpose of this study is to identify the critical barriers of urban sustainability and gender equality with reference to Indian context, to suggest the strategies to achieve sustainable development in the referred area and to evaluate the relationship between them.

Design/methodology/approach

The major contribution of this study lies in the development of a contextual relationship model from the various identified critical barriers in Indian context, using interpretive structural modeling with MICMAC analysis.

Findings

Of the 17 goals given by UN, considering the Indian context, the goals of building resilient infrastructure, promoting inclusive and sustainable industrialization and fostering innovation; promoting sustained and inclusive economic growth along with full and productive employment and decent work for all; and gender equality and empowering women at all levels seem to be the major challenges and the same are selected in this study for further analysis. To understand the major challenges in these areas and also to find the way forward, the study has set following three major objectives: to identify the critical barriers of urban sustainability and gender equality with reference to Indian context; to suggest the strategies to achieve sustainable development in the referred area; and to evaluate the relationship between them.

Originality/value

Considering the highly volatile and complex demand requirements, this approach may help to enable the government to tackle issues/challenges related to both urban sustainability and gender inequality on priority basis and in a holistic manner to achieve the goals of sustainable development, thereby improving the quality of life.

Details

Journal of Modelling in Management, vol. 18 no. 3
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 17 September 2018

Rajesh Katiyar and Sneha Badola

Online banking, a phenomenon widely adopted and appreciated in developing and developed countries, is becoming an essential part of the lives of people from all walks of life, but…

Abstract

Purpose

Online banking, a phenomenon widely adopted and appreciated in developing and developed countries, is becoming an essential part of the lives of people from all walks of life, but there exist a good fraction of customers resisting these services. Therefore, the purpose of this paper is to identify the barriers generating resistance to online banking. The special focus of the paper is to explore resistance among bank customers who already have valid contracts for online banking but still prefer to approach the traditional branches for transactions.

Design/methodology/approach

To achieve the objective, interpretive structural modelling (ISM) with cross-impact matrix multiplication applied to classification (MICMAC) approach is used to investigate the interrelationships among the barriers to online banking.

Findings

Online banking, although proven to be a glorious innovation, has still not been adopted by all, and hence, has not met all the expectations of banks and banking sector. The outcome shows that the online illiteracy and online unawareness are the most important barriers and these two are working as the root cause and demand strong attention on part of the banking sector which is working towards the inclusion of customers to online banking. These findings may help the Indian banking sector in identifying the crucial points that affect online banking system in India the most.

Originality/value

This research explored the interactions among the barriers to online banking in the Indian scenario and revealed significant results through the ISM-based technique.

Details

Journal of Modelling in Management, vol. 13 no. 3
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 2 July 2024

Vaishali Sharma, Rajesh Katiyar and Ruchi Mishra

The purpose of this article is to investigate and analyze the interactions between economic and sustainable development elements in the context of remanufacturing in India.

Abstract

Purpose

The purpose of this article is to investigate and analyze the interactions between economic and sustainable development elements in the context of remanufacturing in India.

Design/methodology/approach

To comprehend the hierarchical and contextual link among factors impacting remanufacturing in India, the study used interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) methodologies.

Findings

The integrated ISM-DEMATEL approach identifies optimal utilization of the resources as the most crucial factor influencing remanufacturing in India, followed by reducing landfills, conserving energy and low cost. The study also reveals that optimal utilization of resources, reduction of landfills, conservation of energy and incorporated advanced technology impacts most of the factors but get affected by a few factors.

Practical implications

Industry practitioners and policymakers should consider the remanufacturing process to achieve sustainable and economic development. The government and other stakeholders can use the ISM framework and cause-and-effect diagram to classify the impact factors and their impact on the Indian economy and environment.

Social implications

This study supports the process to save the landfills and curbing pollution, conserve energy and optimize utilization of the resources, generate employment and supporting the development of the economy. Remanufacturing will undoubtedly contribute to the development of an environment and economy in India that benefits both.

Originality/value

ISM and DEMATELs strategy offers a tiered model and a cause-and-effect relationship between the variables affecting remanufacturing in India.

Details

Journal of Modelling in Management, vol. 19 no. 6
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 28 May 2024

Swayam Sampurna Panigrahi, Rajesh Katiyar and Debasish Mishra

The manufacturing sector is witnessing the need to continuously improve overall performance by eliminating inefficiencies in the supply chain. The adoption of lean concepts to…

Abstract

Purpose

The manufacturing sector is witnessing the need to continuously improve overall performance by eliminating inefficiencies in the supply chain. The adoption of lean concepts to address wasteful or non-value-adding activities in the supply chain is crucial. This article determines key factors of lean supply chain management (LSCM) for continuous improvement in the manufacturing sector.

Design/methodology/approach

The methodology comprises three steps. The first step identifies critical factors of LSCM in manufacturing from prior research and a series of expert consultations. Critical factors are identified and validated that industries can leverage to attain their lean goals. The second step uses the decision-making and trial evaluation laboratory (DEMATEL) method to determine the causal relationship among the factors. DEMATEL analysis categorizes factors into cause and effect, which will assist industry personnel in decision-making. The third step involves further data analysis to visualize the importance of the most critical factors. It develops a machine learning (ML) model in the form of a decision tree that helps in assessing the factors into cause or effect groups via a threshold value of expert ratings.

Findings

IT tools, JIT manufacturing and material handling and logistics form the most critical factors for LSCM implementation.

Originality/value

The analysis from DEMATEL and ML together will be beneficial for manufacturing practitioners to improve the supply chain performance based on the identified factors and their criticality towards LSCM implementation.

Details

Journal of Advances in Management Research, vol. 21 no. 3
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 5 May 2015

Rajesh Katiyar, Mukesh Kumar Barua and Purushottam L. Meena

The purpose of this paper is to investigate the interactions among the key factors of supply chain (SC) in the Indian automotive industry. These key factors are helpful to measure…

1896

Abstract

Purpose

The purpose of this paper is to investigate the interactions among the key factors of supply chain (SC) in the Indian automotive industry. These key factors are helpful to measure supply chain performance (SCP) and to improve the firm’s effectiveness.

Design/methodology/approach

In this paper, an interpretive structural modeling with a fuzzy cross-impact matrix multiplication applied to classification-based approach is used to examine the interactions among the key factors of SCP measurement.

Findings

The authors have identified the most dominant key factors used for measuring the performance in automotive SC. The results exhibit that the order lead-time and order entry method are the most significant key factors. These key factors have high driving power to measure SCP whereas the post-transaction measure of customer service and customer query time are highly dependent on other factors. Such relationships among the key factors can help a firm’s top management to make essential judgments in order to solve the overall SC problems and provide a better approach to proactively deal with problems.

Originality/value

In this paper, the authors have explored the interactions among the key factors of the SCP in the Indian automotive industry.

Details

Benchmarking: An International Journal, vol. 22 no. 4
Type: Research Article
ISSN: 1463-5771

Keywords

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 system…

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: 29 April 2024

Puneett Bhatnagr, Anupama Rajesh and Richa Misra

This study aims to develop a customer-centric model based on an online customer experience (OCE) construct relating to e-loyalty, e-trust and e-satisfaction, resulting in improved…

Abstract

Purpose

This study aims to develop a customer-centric model based on an online customer experience (OCE) construct relating to e-loyalty, e-trust and e-satisfaction, resulting in improved Net Promoter Score for Indian digital banks.

Design/methodology/approach

This study used an online survey method to gather data from a sample of 485 digital banking users, from which usable questionnaires were obtained. The obtained data were subjected to thorough analysis using partial least squares structural equation modelling to further investigate the research hypotheses.

Findings

The main factors determining digital banks’ OCE were perceived customer centrality, perceived value and perceived usability. Additionally, relevant constructs were evaluated using importance-performance map analysis.

Research limitations/implications

This study used convenience sampling for the urban population using digital banking services; therefore, the outcome may be generalized to a limited extent. To further strengthen digital banking, it would be valuable to imitate studies in other countries.

Originality/value

There is a lack of research on digital banking and OCE in India; thus, this study will help rectify this issue while providing valuable insights. This study differs from others in that it examines the connections between online customer satisfaction, loyalty, trust and the bottom line of financial institutions using these factors as dependent variables instead of traditional measures.

Details

International Journal of Quality and Service Sciences, vol. 16 no. 2
Type: Research Article
ISSN: 1756-669X

Keywords

Article
Publication date: 17 December 2021

Sudipta Ghosh, Madhab Chandra Mandal and Amitava Ray

Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green…

1482

Abstract

Purpose

Supplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.

Design/methodology/approach

The research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.

Findings

The results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.

Research limitations/implications

The proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.

Practical implications

The basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.

Originality/value

The originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.

Details

Benchmarking: An International Journal, vol. 29 no. 10
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 28 November 2024

Arindam Banerjee, Raghavendra Prasanna Kumar and Rajesh Mohnot

This study aims to identify individuals' biases while making investment decisions and explore how these biases can be incorporated into a robo-advisory platform to help mitigate…

Abstract

Purpose

This study aims to identify individuals' biases while making investment decisions and explore how these biases can be incorporated into a robo-advisory platform to help mitigate these biases. This paper identifies eight investment-related behavioral biases: mental accounting, gambler’s fallacy, hindsight, regret aversion, disposition, trend-chasing, loss aversion and herding.

Design/methodology/approach

This study uses primary data from 263 respondents across various age groups, of which approximately 50 were wealth management professionals in the UAE. A random sampling method from probability sampling is employed to gather the primary data. The identified biases serve as dependent variables; the age and income of individuals serve as the independent variables.

Findings

Age and income are significantly related to mental accounting, herding, gambler fallacy and loss aversion. Existing studies on behavioral finance demonstrate that individuals who make investment decisions are susceptible to cognitive fallacies, leading to nonrational investment decisions.

Practical implications

By studying these biases affecting individuals of varying ages and income levels, wealth management professionals can tailor their financial robo-advisory services to address these biases and help clients build wealth with consistent investment.

Originality/value

This study uses survey-based sampling in the context of the UAE; hence, the data and analysis represent originality.

Details

The Journal of Risk Finance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1526-5943

Keywords

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