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1 – 10 of 25Ajit Kumar Nigam, Sonia Nongmaithem, Sudeep Sharma and Nachiketa Tripathi
The purpose of this paper is to investigate the relationship between strategic human resource management (SHRM) and performance in service sectors firms in India. Also, it has…
Abstract
Purpose
The purpose of this paper is to investigate the relationship between strategic human resource management (SHRM) and performance in service sectors firms in India. Also, it has tried to explore whether the three main approaches in the area of SHRM – universalistic, contingency and configurational approaches hold true in an Indian setting.
Design/methodology/approach
Data were collected from 25 organizations, using two sets of questionnaires. Set 1 comprised measures of business strategy (n=98) and key informant approach was used to collect the data. Set 2 had measures of SHRM which consisted of two sections – human resource management (HRM) system orientation and HRM capabilities and organizational effectiveness (n=750). Performance was measured in terms of organizational effectiveness. Regression analysis was carried out at two levels: industry level and overall level.
Findings
Results indicated that there is positive relationship between SHRM and effectiveness, business strategy has an impact on the relationship between SHRM and effectiveness and universalistic theory of SHRM does not work in the Indian service sector.
Practical implications
The results of this study revealed that transport and IT‐enabled industries require more strategic HR capability while finance requires more technical HR capability. The SHRM policies need to be dynamic and contingent on the business strategy to attain maximum impact on effectiveness.
Originality/value
This study contributes to the sparse literature on the role of SHRM in the service sector industry where dependence on human resources is more critical as compared to other sectors.
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Srikanta Routroy, Sudeep Kumar Pradhan and C.V. Sunil Kumar
The purpose of this paper is to quantify, evaluate and compare the implementation performance of a supplier development (SD) program using graph theoretic approach (GTA).
Abstract
Purpose
The purpose of this paper is to quantify, evaluate and compare the implementation performance of a supplier development (SD) program using graph theoretic approach (GTA).
Design/methodology/approach
Broadly 13 critical success factors (CSFs) were identified and they were classified into four significant categories (SCs). Featuring these SCs and CSFs under each SC, GTA was proposed for evaluating the implementation performance of SD programs. The analysis was further extended to evaluate the performance of a SD program along the timeline to capture the other influences (if any), eventually compare the results with different performance situations and accordingly set the future targets.
Findings
In order to demonstrate the utility of the proposed approach it was applied to an Indian manufacturing company. The results obtained shown that there has been a significant growth achieved in the implementation performance of a SD program over a period of three years (i.e. 12 quarters) along the chosen SCs and CSFs under each SC. It was also found that still there was a performance gap and scope for improvement in the SD program of the case company.
Practical implications
The proposed approach is aimed at providing a procedure for evaluating the implementation performance of a SD program. This study is an attempt to assist a manufacturer to assess its SD program and accordingly define its course of actions.
Originality/value
Although many issues related to SD have been widely recognized and studied, there are no specific studies available in the literature to assess the implementation performance of SD programs along the timeline. The proposed model has the ability to capture the performance and interdependencies of SCs, CSFs under each SC and also to quantify the implementation performance of a SD program along the timeline.
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Neeraj Joshi, Sudeep R. Bapat and Raghu Nandan Sengupta
The purpose of this paper is to develop optimal estimation procedures for the stress-strength reliability (SSR) parameter R = P(X > Y) of an inverse Pareto distribution (IPD).
Abstract
Purpose
The purpose of this paper is to develop optimal estimation procedures for the stress-strength reliability (SSR) parameter R = P(X > Y) of an inverse Pareto distribution (IPD).
Design/methodology/approach
We estimate the SSR parameter R = P(X > Y) of the IPD under the minimum risk and bounded risk point estimation problems, where X and Y are strength and stress variables, respectively. The total loss function considered is a combination of estimation error (squared error) and cost, utilizing which we minimize the associated risk in order to estimate the reliability parameter. As no fixed-sample technique can be used to solve the proposed point estimation problems, we propose some “cost and time efficient” adaptive sampling techniques (two-stage and purely sequential sampling methods) to tackle them.
Findings
We state important results based on the proposed sampling methodologies. These include estimations of the expected sample size, standard deviation (SD) and mean square error (MSE) of the terminal estimator of reliability parameters. The theoretical values of reliability parameters and the associated sample size and risk functions are well supported by exhaustive simulation analyses. The applicability of our suggested methodology is further corroborated by a real dataset based on insurance claims.
Originality/value
This study will be useful for scenarios where various logistical concerns are involved in the reliability analysis. The methodologies proposed in this study can reduce the number of sampling operations substantially and save time and cost to a great extent.
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Srikanta Routroy and Sudeep Kumar Pradhan
The first objective of this paper is to identify the critical success factors (CSFs) and their corresponding key performance indicators (KPIs) for supplier development (SD) in a…
Abstract
Purpose
The first objective of this paper is to identify the critical success factors (CSFs) and their corresponding key performance indicators (KPIs) for supplier development (SD) in a manufacturing environment. The second objective is to develop a methodology to analyze and evaluate the performance for SD using CSFs and their KPIs over the time.
Design/methodology/approach
In all, 13 CSFs and their corresponding KPIs for SD are established through an extensive literature review, discussion held with managers/engineers in different Indian manufacturing companies and conducting brainstorming sessions. A methodology is proposed using analytic hierarchy process (AHP) and performance value analysis to assess and evaluate the performance of SD over the time.
Findings
From an extensive analysis of the results, under the given circumstances, the growth of SD performance is positive at different progressive points along the time horizon.
Research limitations/implications
This study has not been statistically validated in manufacturing supply chain for complete acceptability.
Practical implications
This study provides insights into the performance evaluation of SD using CSFs and their corresponding KPIs. The managers should capture their manufacturing environment which can reflect their own priority considerations to establish the impact of each KPI on its corresponding CSF.
Originality/value
Although many issues related to SD have been widely researched individually, few studies have been reported with a model to quantify, monitor, analyze, and evaluate the growth of SD performance in manufacturing environment in Indian context. The proposed model has the ability to capture the performance along KPIs and CSFs to draw fruitful conclusions regarding the success of the SD programme.
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Raju Chauhan, Sudeep Thakuri and Charles Pradhan
Nepal is exposed to multi-hazard risk and is highly prone to disasters such as earthquake, flood, landslide, and drought. The climate, topography, nature-based livelihood, and…
Abstract
Nepal is exposed to multi-hazard risk and is highly prone to disasters such as earthquake, flood, landslide, and drought. The climate, topography, nature-based livelihood, and weak economy and institutional capability to deal with such disasters put the country at frontline of the highly vulnerable countries in the world. Majority of the population of Nepal live in rural areas which are characterized by poorly developed infrastructures. Several disasters in such areas induce temporarily or permanently displacements of the people. Vulnerable communities, households, and individuals lack the capacity to withstand shocks, while more resilient communities are able to reduce the associated risks. Migration during disasters is itself an adaptive response which is both the opportunity and challenge for developing a resilient community. This chapter presents the trends and patterns of disaster-induced displacements in Nepal and explores how disaster-induced displacements could be an opportunity to build back better to enhance the resilience of the vulnerable communities. This chapter also highlights the existing institutions and disaster management framework of the national policies and strategies at the federal, provincial, and local levels in the light of disaster-induced displacement, and recommend actions that need to be taken to manage the risk of disaster-induced displacements and enhance resilient livelihoods in Nepal.
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Srikanta Routroy and Sudeep Kumar Pradhan
The purpose of this paper is to analyze the sourcing alternatives (i.e. supplier development (SD), supplier switching (SS) and in‐house production (IP)) in an Indian manufacturing…
Abstract
Purpose
The purpose of this paper is to analyze the sourcing alternatives (i.e. supplier development (SD), supplier switching (SS) and in‐house production (IP)) in an Indian manufacturing supply chain environment.
Design/methodology/approach
A total of 14 attributes are identified through an extensive literature review and discussion held with managers/engineers of different Indian manufacturing companies for analyzing the sourcing alternatives. A systematic methodology is proposed and applied, comprising a fuzzy analytic hierarchy process (FAHP) for analyzing the sourcing alternatives followed by the application of classical analytic hierarchy process (AHP) for result verification.
Findings
From the results obtained from both AHP and FAHP, it is established that the SD is the most preferred alternative in comparison to other two alternatives (i.e. SS and IP) for the considered Indian manufacturing environment.
Research limitations/implications
The same problem can be extended by incorporating the dynamic behavior of the attributes. The findings cannot be generalized for any other company as it is based on a single Indian manufacturing company.
Practical implications
The paper demonstrates a methodology to evaluate the sourcing alternatives considering judgment of multiple experts in a systematic way. It is believed that it will be quite useful for the supply chain manager to analyze sourcing alternatives by capturing his manufacturing environment into priority weights, which can reflect his priority considerations.
Originality/value
Although SD, SS and IP have been widely researched individually, no study has been reported in the literature to evaluate and rank these three alternatives in any specific Indian manufacturing environment.
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Srikanta Routroy and Sudeep Kumar Pradhan
The aim of this paper is to propose a benchmarking model of supplier development (SD) for an Indian gear manufacturing company for its successful adoption and improvement in a…
Abstract
Purpose
The aim of this paper is to propose a benchmarking model of supplier development (SD) for an Indian gear manufacturing company for its successful adoption and improvement in a continuous basis.
Design/methodology/approach
Thirteen SD critical success factors (CSFs) are identified and classified into four categories through extensive literature review and discussion held with managers/senior engineers in different Indian manufacturing companies. The four categories are primary CSFs related to supplier, secondary CSFs related to supplier, CSFs related to manufacturer and CSFs related to both manufacturer and supplier. The interpretative structural modeling (ISM) approach is applied to the Indian gear manufacturing company for developing and analyzing structural framework of CSFs to propose a benchmarking model for SD.
Findings
It is concluded that SD adoption should be carried out in four phases sequentially for the Indian gear manufacturing company. The first, second, third and fourth phase should sequentially focus on primary CSFs related to supplier; secondary CSFs related to supplier; CSFs related to manufacturer; and CSFs related to both manufacturer and supplier, respectively. The proposed benchmarking model has four phases (i.e. plan, analyze, implement and measure) and bifurcated into 12 steps to enhance the performance of CSFs.
Practical implications
This paper provides a useful benchmarking model for successful adoption of SD in manufacturing organizations.
Originality/value
This is one of the few studies to develop the relationship of CSFs for SD in general and its application to an Indian gear manufacturing company in particular. A benchmarking model for SD is also proposed having five phases and 12 steps. The findings of the proposed structural framework and benchmarking model for the Indian gear manufacturing company are discussed in detail and will serve as a guideline for successful adoption of SD in manufacturing environment.
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Srikanta Routroy and Sudeep Kumar Pradhan
The purpose of this paper is to identify and evaluate the critical success factors (CSFs) responsible for supplier development (SD) in a manufacturing supply chain environment.
Abstract
Purpose
The purpose of this paper is to identify and evaluate the critical success factors (CSFs) responsible for supplier development (SD) in a manufacturing supply chain environment.
Design/methodology/approach
In total, 13 CSFs for SD are identified (i.e. long‐term strategic goal; top management commitment; incentives; supplier's supplier condition; proximity to manufacturing base; supplier certification; innovation capability; information sharing; environmental readiness; external environment; project completion experience; supplier status and direct involvement) through extensive literature review and discussion held with managers/engineers in different Indian manufacturing companies. A fuzzy analytic hierarchy process (FAHP) is proposed and developed to evaluate the degree of impact of each CSF on SD.
Findings
The degree of impact for each CSF on SD is established for an Indian company. The results are discussed in detail with managerial implications. The long‐term strategic goal is found to be the most significant CSF for successful SD implementation.
Research limitations/implications
This study has not been statistically validated in a manufacturing supply chain environment for complete acceptability.
Practical implications
The simplicity and clarity of the proposed approach enhances its acceptability for evaluating CSFs in manufacturing supply chain environment. It also provides the direction for optimally allocating the efforts and resources for successful implementation of SD in short duration.
Originality/value
Although both CSFs and SD have been widely researched, but no study has been reported in the literature to prioritize and rank the CSFs of SD in an Indian manufacturing environment. The paper contributes to research in the supply chain management area in general and SD in particular for manufacturing environment. The proposed approach has the ability to capture the judgment of multiple experts to prioritize and rank CSFs for SD.
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Keng-Boon Ooi, Garry Wei-Han Tan, Eugene Cheng-Xi Aw, Tat-Huei Cham, Yogesh K. Dwivedi, Rohita Dwivedi, Laurie Hughes, Arpan Kumar Kar, Xiu-Ming Loh, Emmanuel Mogaji, Ian Phau and Anshuman Sharma
Technological advancements have catalyzed disruption in the banking sector. The impact of the metaverse on the banking sector is no exception. In view of this, the current paper…
Abstract
Purpose
Technological advancements have catalyzed disruption in the banking sector. The impact of the metaverse on the banking sector is no exception. In view of this, the current paper aims to provide valuable insights into four key areas (i.e. corporate banking, retail banking, banking employees and public policy) that the metaverse could significantly disrupt.
Design/methodology/approach
Insights into four key areas of the banking sector that the metaverse could significantly impact were gathered from various invited contributors.
Findings
The invited contributors first introduce the association between their respective key areas with the metaverse. Subsequently, the opportunities and challenges relevant to the key areas were identified. Finally, future research agendas were proposed for the attention of all relevant stakeholders.
Originality/value
The metaverse's impact on key areas of the banking sector is discussed in this paper. Following the metaverse's potentially wide application in the banking sector, insights from the invited contributions offer great value to the relevant stakeholders.
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Sudeep Kumar Pradhan and Srikanta Routroy
The purpose of this paper is to identify and develop the structural relationship among the key drivers to control and enhance the supply management (SM) performance in Indian…
Abstract
Purpose
The purpose of this paper is to identify and develop the structural relationship among the key drivers to control and enhance the supply management (SM) performance in Indian manufacturing environment.
Design/methodology/approach
The drivers (i.e. sourcing alternatives and supplier selection, supplier development (SD), contract management (CM) and risk management (RM)) of SM were identified and SM integration model was proposed through literature review and in consultation with industry experts. The proposed model was validated by capturing experts’ view in Indian manufacturing environment. The strength of relationships between these drivers and on SM performance was also established using structural equation modeling.
Findings
CM has positive direct effect on SM performance and two drivers (i.e. sourcing alternatives and supplier selection, and SD) have positive indirect effect mediated by CM. Whereas, RM has direct and indirect (mediated by CM) positive effect on SM performance in Indian manufacturing environment.
Research limitations/implications
This model can be validated for manufacturing industries in other countries.
Practical implications
This model provides a comprehensive relationship among four drivers of SM and shows the direction for designing and implementing appropriate policies in order to enhance the SM performance in Indian manufacturing environment.
Originality/value
Although many issues related to SM have been widely researched, but no literature has been reported related to SM integration model consisting of its drivers in general and in Indian manufacturing environment in specific. The key drivers of SM were identified and their relative importance was analyzed in Indian manufacturing environment.
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