Search results

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.

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.

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.

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.

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.

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).

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.

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.

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.

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.

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.

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.

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.

This study has not been statistically validated in manufacturing supply chain for complete acceptability.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

This paper provides a useful benchmarking model for successful adoption of SD in manufacturing organizations.

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.

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.

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.

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.

This study has not been statistically validated in a manufacturing supply chain environment for complete acceptability.

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.

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.

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.

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.

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.

This model can be validated for manufacturing industries in other countries.

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.

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.

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.

Insights into four key areas of the banking sector that the metaverse could significantly impact were gathered from various invited contributors.

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.

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.

The purpose of this paper was to carry out an experimental study to investigate tribodynamics at the interface of chrome steel pin with the plain and textured surface cast iron discs in a fully flooded condition.

A friction and wear tester (tribometer) was used for conducting the experiment at different operating parameters. Lubricating oil used in this experiment was SAE-15W40, which directly supplied at the interface and ensured a fully flooded lubricating condition. Measurements of different parameters, such as friction coefficient, the rate of wear, the amplitude of vibration, rise in temperature and intensity of sound, were considered at different loads. The input parameters were taken in a range viz. Loads from 1.9 MPa to 3.1 MPa, sliding speeds from 2 to 10 m/s and distance travelled ranged from 1000 to 5000 m.

In the investigation, it was found that there was a decrease in friction coefficient and wear rate at the interface formed by the chrome steel pin with textured surface cast iron disc when compared with friction coefficient and wear rate at the interface formed by the chrome steel pin and the plain surface disc of cast iron.

Also, it was inferred that temperature, vibration and noise level, at the interface formed by the chrome steel pin and plain surface cast iron disc, increased, which governed the interface stability. The novelty of this investigation lies in the identification of the parameters on which interface stability depends.

This paper aims to numerically investigate the surface texturing effects on the main bearings of a three-cylinder ethanol engine in terms of the power loss and friction coefficient for dynamic load conditions.

The mathematical formulation considers the Partir-Cheng modified Reynolds equation. The mass-conserving Elrod-Adams p-θ model with the JFO approach is used to deal with cavitation. A fluid-structure coupling procedure is considered for the elastohydrodynamic lubrication. Accordingly, a 3-D linear-elastic substructured finite element model obtained from Abaqus is applied

Simulations were carried out considering different dimple texture designs in terms of location, depth and radius. The results suggested that there are regions where texturing is more effective. In addition, distinct journal rotation speeds are studied and the surface texture was able to reduce friction and the power loss by 7%.

The surface texturing can be a useful technique to reduce the power loss on the crankshaft bearing increasing the overall engine efficiency.

The surface texturing performance in a three-cylinder engine using ethanol as fuel was investigated through numerical experimentation. The results are supported by previous findings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-09-2019-0380/