Rachana Chattopadhayay and Anil Kumar Ghosh
Performance appraisal based on a forced distribution system (FDS) is widely used in large corporate sectors around the globe. Though many researchers have pointed out several…
Abstract
Purpose
Performance appraisal based on a forced distribution system (FDS) is widely used in large corporate sectors around the globe. Though many researchers have pointed out several drawbacks in FDS, due to the absence of any suitable alternative, it has been (and continues to be) adopted by many industries over a long period of time. The purpose of this paper is to point out some serious limitations of this system and propose a simple modification to overcome these limitations.
Design/methodology/approach
FDS determines the relative positions of the employees involved in similar work by comparing them against one another, and based on their performance, the employees receive different grades. Here the authors use the Likert's scaling method to convert these grades into numerical scores, then these scores are used to estimate the average performance of each group of employees, which is referred to as the group index. Taking these group indices into consideration, the authors propose a modified performance score of each employee for their final evaluation. Efficiencies of the existing FDS and the proposed modified version are compared using a simple measure of rank correlation known as the Kendall's tau‐statistic.
Findings
Extensive simulation studies show that the modified algorithm is uniformly better than the existing one over different schemes for allocations of employees to different projects, and depending on the allocation scheme, it can lead to substantial improvement.
Originality/value
This paper can be considered as the first to mathematically demonstrate the problems lying in the appraisal system based on a forced distribution and the first that provides a simple but effective solution which can be adopted by the organizations using FDS for performance appraisal.
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Pushpendu Chand, Anil Kumar, Jitesh Thakkar and Kunal Kanti Ghosh
In today's globalized business environment, growing supply chain complexity (SCC) is arguably a major threat to the firm's business continuity with an adverse impact on the firm's…
Abstract
Purpose
In today's globalized business environment, growing supply chain complexity (SCC) is arguably a major threat to the firm's business continuity with an adverse impact on the firm's competitive advantage and business performance. Researchers, though, investigated the impact of SCC drivers on a firm's operational performance, but the key question “Which supply chain complexity drivers severely impact the supply chain performance (SCP)?” remains largely unanswered from empirical research. The present study aims to decompose the SCC into four major constituting sub-categories (upstream, operational, downstream and external) to explore the causal impact of SCC drivers on SCP in direct and mediated manner.
Design/methodology/approach
The indicators applied for measuring constructs in the “Measurement model” are obtained from existing literature to increase the validity and reliability of the model. First, a pilot survey involving 25 SC managers from various manufacturing firms was conducted for indicator refinement and content validation. Second, the large-scale response data were collected through extensive surveys. This research explores the causality by testing the hypothesis applying Structural Equation Modeling (SEM) based on the responses received from 246 firms.
Findings
The study investigates the impact of SCC drivers on SCP through direct and mediation effect. The results indicate that upstream and operational SCC drivers play a mediating role in managing SCP. The findings reveal that upstream and operational SCC drivers adversely impact the SCP. Furthermore, the impact of downstream complexity on SCP is moderated through operational complexity drivers. The result explains the theoretical relation among SCC drivers supported by empirical validity.
Practical implications
The outcome offers practical relevance to supply chain (SC) managers in SCC and SCP management. Knowing the effect of SCC drivers among themselves and on SCP will facilitate the SC managers in devising the right strategies. The study provides a framework for prioritizing the resource in addressing the SCC issues among many.
Originality/value
The study addresses the apparent gap in the literature by modeling the impact of SCC drivers on SCP, which remained largely unexplored. First, it contributes to developing complex relationships among SCC drivers. Second, the direct and mediated causal effect of the SCC drivers individually and combinedly on SCP are explicated.
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Priyanka Yadav and Anil Kumar Sharma
The purpose of this paper is to combine the critical parameters used to study financial inclusion into a composite index. The idea is to rank Indian states and union territories…
Abstract
Purpose
The purpose of this paper is to combine the critical parameters used to study financial inclusion into a composite index. The idea is to rank Indian states and union territories (UTs) on the basis of this index, determine change in ranks during 2011 to 2014 and identify factors affecting high/low scores on the index.
Design/methodology/approach
Data for the study were collected from secondary sources published by Reserve Bank of India (RBI) and Central Statistical Organization. Applying technique of order preference by similarity to ideal solution (TOPSIS), a composite multi-dimensional index of financial inclusion (IFI) has been built by using three broad parameters of penetration, availability and usage of banking services. Factors significantly influencing scores of states/UTs on IFI were identified using multiple regression analysis.
Findings
The value of financial inclusion for India on composite IFI has increased by 0.045 points during the study period. Share of agriculture to state gross domestic product, literacy ratio, population density, infrastructure development and farmer suicides are significant factors affecting financial inclusion.
Practical implications
The multi-dimensional IFI is a useful tool to measure financial inclusion using several parameters for various states/regions. The index can also be used to compare the performance of states/regions over same/different periods.
Originality/value
This paper is unique in its attempt to construct multi-dimensional IFI for Indian states/UTs by applying TOPSIS. It will prove useful for future researchers by combining several aspects of financial inclusion into single index.
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Anil Kumar and Rohit Kumar Singh
The aim of this study is to examine the impact of supply chain management (SCM) practices and retail outlet attributes on the performance of organised food retailers in India…
Abstract
Purpose
The aim of this study is to examine the impact of supply chain management (SCM) practices and retail outlet attributes on the performance of organised food retailers in India during COVID-19 pandemic.
Design/methodology/approach
Authors conducted empirical research with SCM practices and retail outlet attributes to evaluate the retailers’ performance. The authors present the results from 321 valid responses from the Indian food retailers. The study used structured equation modeling to present the analysis and the results.
Findings
The findings of this study reveal that most of the SCM practices (i.e. information technology, level of information sharing, customer relationship, supplier relationship and goal congruence) have a positive impact on performance except the quality of information sharing. The results show that in the time of the pandemic, the retail outlet attributes (image, service quality and convenience) have no significant relationship with the food retailer’s performance while SCM practices are necessary to achieve better performance of the food retailers.
Research limitations/implications
A proactive approach is needed from retailers at the time of pandemic situations to manage the supply chains. The retailers must be extra careful in screening the suppliers for the short and long run. The reason being that in the situation of pandemic, customers might be more demanding and hence, food retailers need to pay special attention to gain growth. It is also required that the policymakers should give importance to the implementation of these SCM practices to be positioned differently.
Originality/value
The research can be valued in terms of its original contribution towards companies in overcoming the disruption caused by COVID-19 to maintain a balance between demand and supply and proposes a completely new theoretical framework. The proposed theoretical model would add value to the existing literature to help the retailers in process of their performance improvement. The study has provided insights for retail organisations, suppliers and government departments to manage their SCs more effectively and efficiently during the pandemic.
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The apex planning body of India, NITI Aayog launched an Aspirational District Programme (ADP) in January 2018. The programme aimed to the quick and effective transformation of 112…
Abstract
The apex planning body of India, NITI Aayog launched an Aspirational District Programme (ADP) in January 2018. The programme aimed to the quick and effective transformation of 112 (14%) districts of the country. This programme is considered as world's biggest result-based governance initiative having reached up to 250 million people. It is based on a ranking that is done on monthly basis. This ranking is based on 49 KPIs across six broad socio-economic themes.
The study attempts to inquire and assess the progress made by 112 Aspirational Districts under Financial Inclusion, Skill Development and Basic Infrastructure theme from the inception of the programme to June 2022 (i.e. 54 months). Instead of ranking districts with delta rank or composite scores, the study divorce from NITI Aayog's methodology of monthly delta ranking. The study explores 8 indicators under the basic infrastructure theme and 16 indicators under the financial inclusion and skill development themes. For this purpose, the study explores the availability of individual household latrines, drinking water, electricity and road connectivity. Districts are also tracked for the number of Internet-connected Gram Panchayats, and panchayats with Common Services. Every district is provided with the target as per national development priority, the study makes an effort to grasp the distance of each district from the national target. This allows researchers to develop a scale Very Far, Far, Near, Very Near, Achieved with descriptive statistics techniques. Juxtaposing the scale with timelines results in a pattern of progress made by these 112 districts.
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Anil Kumar, Rohit Kumar Singh and Sachin Modgil
The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of…
Abstract
Purpose
The objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.
Design/methodology/approach
Based on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.
Findings
The research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.
Originality/value
The study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.
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B.V. Binoy, M.A. Naseer and P.P. Anil Kumar
Land value varies at a micro level depending on the location’s economic, geographical and political determinants. The purpose of this study is to present a comprehensive…
Abstract
Purpose
Land value varies at a micro level depending on the location’s economic, geographical and political determinants. The purpose of this study is to present a comprehensive assessment of the determinants affecting land value in the Indian city of Thiruvananthapuram in the state of Kerala.
Design/methodology/approach
The global influence of the identified 20 explanatory variables on land value is measured using the traditional hedonic price modeling approach. The localized spatial variations of the influencing parameters are examined using the non-parametric regression method, geographically weighted regression. This study used advertised land value prices collected from Web sources and screened through field surveys.
Findings
Global regression results indicate that access to transportation facilities, commercial establishments, crime sources, wetland classification and disaster history has the strongest influence on land value in the study area. Local regression results demonstrate that the factors influencing land value are not stationary in the study area. Most variables have a different influence in Kazhakootam and the residential areas than in the central business district region.
Originality/value
This study confirms findings from previous studies and provides additional evidence in the spatial dynamics of land value creation. It is to be noted that advanced modeling approaches used in the research have not received much attention in Indian property valuation studies. The outcomes of this study have important implications for the property value fixation of urban Kerala. The regional variation of land value within an urban agglomeration shows the need for a localized method for land value calculation.
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Anil Kumar Agrawal, Mahendra Pratap, Subhash Chandra Sati and Rajeev Kumar Upadhyay
The purpose of this paper is to optimize the design of a hybrid tether using probabilistic approach considering inherent random variation in the stress developed and the strength…
Abstract
Purpose
The purpose of this paper is to optimize the design of a hybrid tether using probabilistic approach considering inherent random variation in the stress developed and the strength it has. The variation in strength is mostly because of variation in diameter of the tether and the properties of the material along the length of the tether. As a result, classical design approach for the tether may not serve the purpose. For this purpose, a reliability-based design of hybrid tether is discussed in this paper.
Design/methodology/approach
A literature review was carried out on the design of tether and its operational reliability. It has been shown that the classical design approach does not serve the purpose, as the strategic operation has to be reliable enough, often requiring a measure of reliability required. A reliability-based approach has been presented to achieve the optimum design of a hybrid tether.
Findings
The optimization problem was carried out for different values of the safety factor to investigate the effect on the optimal design of tether. An analysis is carried out to show that one should not target a very high value of reliability or factor of safety, as it causes the self-weight of the tether to increase tremendously and its cost significantly.
Research limitations/implications
The present work has been carried out considering the limited data and can further be extended to determine more accurate reliability measures by considering more number of sample test data. The measured data is collected from limited required trials for demo; do not represent the exact population data.
Originality/value
Lab strength test and flight trials were conducted to acquire data for the present analysis. In field use, it was noticed that the tether degraded from top portion attached toward the balloon end because of maximum exposure and repeated usage.
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Ajay Kumar and Anil Kumar Kashyap
Shopping motivation has been extensively explored in traditional marketing context but less in online shopping. Utilitarian attribute of online shopping is one of the success…
Abstract
Purpose
Shopping motivation has been extensively explored in traditional marketing context but less in online shopping. Utilitarian attribute of online shopping is one of the success factors of e-retailing. The purpose of this paper is to explore the utilitarian shopping motivation in online shopping and validate these factors through confirmatory factor analysis (CFA) in the Indian context.
Design/methodology/approach
The data were collected from the 183 regular online shoppers. The collected data were analysed through exploratory factor analysis and CFA using Amos 22 version.
Findings
This paper explored the utilitarian shopping motivation of online shopping into five factors, i.e. information availability, accessibility, searchability, product availability and convenience.
Research limitations/implications
The research is conducted on online shoppers to measure their utilitarian motives of shopping online. Further research may be conducted to investigate other motives of online shopping. The sample is taken from Central India which is not enough to generalise the findings. Research may be conducted in other regions and on different segment of respondents to know the impact of geographical variance on utilitarian perspectives of online shoppers.
Originality/value
This paper addresses a significant input in online retailing platform, and it will contribute to the theory of shopping motivations in online shopping context and provide valuable inputs for developing online marketing strategies. The findings of the study also aid to retail practitioners in analysing retailing’s current transformation due to digitalization.