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Article
Publication date: 19 June 2023

Nidhi Singh and Surender Kumar

The purpose of this study is to conduct a systematic review of the literature of the studies that have examined several theoretical perspectives on corporate social performance…

454

Abstract

Purpose

The purpose of this study is to conduct a systematic review of the literature of the studies that have examined several theoretical perspectives on corporate social performance (CSP) and identify possible future research questions based on various theoretical viewpoints.

Design/methodology/approach

The study used systematic literature review analysis on a sample of 667 studies published in top A* and A category journals listed in the Australian Business Dean Council list. The present study derived articles between 1975 and 2023 from the SCOPUS database by using relevant keywords to identify research activities in CSP.

Findings

The findings suggest that many studies on CSP have been undertaken globally. But there is a lack of studies on various theoretical perspectives, including peer uncertainty evaluation, buyer–supplier sustainability links, the role of primary stakeholders (especially consumers, employees, suppliers and secondary stakeholders), the use of technology, firm-related heterogeneities, and the role of demographic and socio-economic factors. Future research areas are recommended.

Research limitations/implications

The study investigates existing research gaps to identify possible future research questions and frameworks that can be explored to advance the research on CSP.

Practical implications

The research also provides implications for firms in terms of understanding diverse theoretical perspectives to develop strategies to improve a firm’s social performance.

Originality/value

The findings are derived from a systematic review of the literature in top-category studies that examined existing theories and frameworks in the CSP domain. This highlights the importance of other understudied complementary theories, such as complexity theory, spillover theory, critical mass theory, slack theory and so on, and related variables that can improve a firm’s social performance. Evaluation of existing theoretical perspectives is not included in other review studies.

Details

Journal of Advances in Management Research, vol. 20 no. 5
Type: Research Article
ISSN: 0972-7981

Keywords

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Article
Publication date: 19 June 2017

Manjeet Singh and Surender Kumar Soni

This paper aims to discuss a comprehensive survey on fuzzy-based clustering techniques. The determination of an appropriate sensor node as a cluster head straightforwardly affects…

311

Abstract

Purpose

This paper aims to discuss a comprehensive survey on fuzzy-based clustering techniques. The determination of an appropriate sensor node as a cluster head straightforwardly affects a network’s lifetime. Clustering often possesses some uncertainties in determining suitable sensor nodes as a cluster head. Owing to various variables, selection of a suitable node as a cluster head is a perplexing decision. Fuzzy logic is capable of handling uncertainties and improving decision-making processes even with insufficient information. Then, state-of-the-art research in the field of clustering techniques has been reviewed.

Design/methodology/approach

The literature is presented in a tabular form with merits and limitations of each technique. Furthermore, the various techniques are compared graphically and classified in a tabular form and the flowcharts of important algorithms are presented with pseudocodes.

Findings

This paper comprehends the importance and distinction of different fuzzy-based clustering methods which are further supportive in designing more efficient clustering protocols.

Originality/value

This paper fulfills the need of a review paper in the field of fuzzy-based clustering techniques because no other paper has reviewed all the fuzzy-based clustering techniques. Furthermore, none of them has presented literature in a tabular form or presented flowcharts with pseudocodes of important techniques.

Details

Sensor Review, vol. 37 no. 3
Type: Research Article
ISSN: 0260-2288

Keywords

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Article
Publication date: 14 July 2021

Rajesh Kumar Garg and Surender Kumar Soni

The purpose of this paper is to investigate the effect of snow on the radio link performance of wireless sensor nodes in Indian Himalayan conditions and to propose empirical path…

45

Abstract

Purpose

The purpose of this paper is to investigate the effect of snow on the radio link performance of wireless sensor nodes in Indian Himalayan conditions and to propose empirical path loss models for radio wave propagation.

Design/methodology/approach

At the remote test site, one source and three listening wireless sensor nodes were deployed at frequency of 433 MHz. The path loss models are derived from experimental data collected during the period of snowfall and clear weather conditions. Linear, exponential, second and third-order polynomials path loss models have been investigated along with experimental data.

Findings

With the help of curve fitting and goodness-of-fit tests, it is found that path loss can be modelled through third-order polynomial equation during the snowfall period. However, if sensor is buried, the acceptable path loss model is exponential. Similarly, for unified modelling requirement, exponential path loss model over linear can be a preferred choice.

Originality/value

Results show that path loss can be estimated priori for deciding optimum transmission energy in wireless sensor network. Presented work is usable in extending the lifetime of health monitoring devices buried in snowy environment.

Details

World Journal of Engineering, vol. 19 no. 2
Type: Research Article
ISSN: 1708-5284

Keywords

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Article
Publication date: 11 June 2019

Surender Kumar

The performance analysis of top 50 management institutions of India is conducted to understand their efficiency in utilizing available resources. The importance of different…

672

Abstract

Purpose

The performance analysis of top 50 management institutions of India is conducted to understand their efficiency in utilizing available resources. The importance of different indicators is investigated to identify most preferred strategies of top management institutions in the country in order to meet the expectations of all stakeholders. Artificial neural networks models are applied for pattern recognition and classification purpose using self-organized map algorithms. A huge reservoir of young generation is being trained every year to meet the demand of business in different sectors of economies. It becomes a matter of concern to know the performance of the management institutes to ensure the overall national progress, which can be done by enabling organizations to improve their efficiency and effectiveness, provided the right information and skills are served. Data envelopment analysis (DEA) and self-organizing maps are utilized together to take advantages of optimization and prediction capabilities inherent in each method, and they may be beneficial to assess institution’s competitive position and design their own strategies in order to improve. The paper aims to discuss these issues.

Design/methodology/approach

The DEA is used to understand the utilization of resources by institutions on the bases of efficiency scores. Due to a greater flexibility and adaptability, neural technique, i.e. self-organized map, which is an artificial intelligence-based technique, a popular unsupervised learning model with a capability to capture patterns from data sets, is used. In this study, various parameters like qualification of faculty, research output of faculty members, expenditure made for functioning of the institution, etc., are considered. These academic and operational indicators are investigated in relation to the rank score and the efficiency score of top management institutions, and different strategies as a combination of input as well as output indicators are identified.

Findings

In the analysis, three types of strategies are identified. At present, the focus on salary packages of graduates seems the most utilized strategy. It is also observed that the strategy of having good performance, in terms of consultancy, peer and employer perception, has the highest success rate (in terms of score used for ranking). Results obtained using both techniques shows that due to high deviation and less explored research publications and sponsored research project is an opportunity that institutions can work upon to have maximum output. But to maintain consistency in terms of the high rank score and efficiency score, management institutions need to focus on consultancy, peer and employer perception.

Practical implications

This research identifies the different parameters categorized into various inputs and outputs for the management institutions in India for the benchmarking. It studies the importance of identified parameters in terms of success (rank score and efficiency score). Further investigation of relationship between parameters and success is conducted. Different strategies as a combination of parameters are identified. The current choice of top management institutions is revealed in terms of their preference and effectiveness of strategy. This research also provides some insight about long-term and short-term strategies, which may be beneficial to education managers or decision makers.

Originality/value

It is one of the rare papers in terms of performance measurement through data envelopment method and identification of strategy using artificial intelligence. This paper utilized a hybrid methodology that integrates these two data analytic methods to capture an innovative performance and strategies prediction in education system.

Details

Benchmarking: An International Journal, vol. 26 no. 7
Type: Research Article
ISSN: 1463-5771

Keywords

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Article
Publication date: 15 January 2024

Surender Kumar, Sanjay Yadav, Reetu Rani and Ashok Kumar Pathera

This paper aims to study the effects of plum powder and apple pomace powder additions on the quality properties of buffalo meat emulsion.

83

Abstract

Purpose

This paper aims to study the effects of plum powder and apple pomace powder additions on the quality properties of buffalo meat emulsion.

Design/methodology/approach

Buffalo meat emulsions were prepared using different levels (2%, 4% and 6%) of plum powder and apple pomace powder, respectively. The meat emulsions were analysed for the physico-chemical, sensory and textural properties of the meat emulsion.

Findings

The pH of meat emulsions decreased significantly (p < 0.05) with an increased level of plum powder and apple pomace powder. Water-holding capacity (43.1%–48.1%), emulsion stability (80.2%–92.2%) and cooking yield (85.4%–91.0%) were significantly (p < 0.05) higher in plum powder and apple pomace powder added than the water-holding capacity (42.1%), emulsion stability (79.7%) and cooking yield (85.0%) of control emulsion. The moisture content was decreased significantly (p < 0.05), and crude fibre content was increased significantly (p < 0.05) with the increase in plum powder and apple pomace powder additions in meat emulsions. The total phenolic content and colour values (a* and b*) were significantly higher in plum powder and apple pomace powder added to meat emulsions. The sensory scores of meat emulsions were affected by the addition of plum powder and apple pomace powder. The meat emulsion added with 6% plum powder and 6% apple pomace powder showed significantly lower values of sensory overall acceptability. The hardness of meat emulsions increased with the addition of plum powder and apple pomace powder.

Originality/value

The results indicated that meat emulsions with a good cooking yield, fibre content, sensory acceptability and textural properties can be prepared by using plum powder and apple pomace powder.

Details

Nutrition & Food Science , vol. 54 no. 2
Type: Research Article
ISSN: 0034-6659

Keywords

Available. Content available
Article
Publication date: 22 April 2020

Dibyendu Maiti and Surender Kumar

467

Abstract

Details

Indian Growth and Development Review, vol. 13 no. 1
Type: Research Article
ISSN: 1753-8254

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Article
Publication date: 1 April 2006

Surender Kumar

To measure total factor productivity (TFP) growth in industrial manufacturing for 15 major Indian states for the period 1982‐1983 to 2000‐2001.

1852

Abstract

Purpose

To measure total factor productivity (TFP) growth in industrial manufacturing for 15 major Indian states for the period 1982‐1983 to 2000‐2001.

Design/methodology/approach

Uses non‐parametric linear programming methods; TFP growth is decomposed into efficiency and technological changes and also measures for the bias in technical change. The resulting information is used to examine whether the post‐reform period shows any improvement in productivity and efficiency in comparison with the pre‐reform period.

Findings

Findings of the present exercise indicate the improvement in TFP. The recent change in TFP is governed by the technical progress in contrast with similar gain caused by the improvement in technical efficiency in the pre‐reform regime. The technological progress in state manufacturing exhibited a capital‐using bias during the study period. Regional differences in TFP persist, although the magnitude of variation has declined in the post‐reform period. Moreover, it is also found that there is a tendency for convergence in terms of TFP growth rate among Indian states during the post‐reform years and only the states that were technically efficient at the beginning of the reforms remain innovative.

Originality/value

Decomposing state level data on manufacturing into technical change and efficiency change helps in identifying the directions biases in favour of labour or capital. Also, this analysis demonstrates the richness of linear programming technique that allows for an investigation of important research questions on the underlying processes that influence TFP growth.

Details

International Journal of Productivity and Performance Management, vol. 55 no. 3/4
Type: Research Article
ISSN: 1741-0401

Keywords

Available. Content available
Article
Publication date: 1 April 2006

Jillian MacBryde and Zoe Radnor

448

Abstract

Details

International Journal of Productivity and Performance Management, vol. 55 no. 3/4
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 12 October 2015

D. Arul Paramanandam and P Packirisamy

This study aims to find whether the micro-enterprises lead to women empowerment and entrepreneurship and make them to be wholly involved in income-generating activities by having…

2860

Abstract

Purpose

This study aims to find whether the micro-enterprises lead to women empowerment and entrepreneurship and make them to be wholly involved in income-generating activities by having them choose a business venture of their own.

Design/methodology/approach

Women empowerment is very important for the acceleration of economic growth. The economic empowerment of women is being regarded these days as a sine qua non of progress for a country; hence, the issue of economic empowerment of women is of paramount importance to political thinkers, social scientists and reformers. The self-help groups (SHGs) have paved the way for economic independence of rural women. The members of SHGs are involved in micro-entrepreneurships. Empowerment is intellectual capital. Capital is a life blood of any industry.

Findings

Without women development, economic development will not take place. Women should be imparted technical knowledge, skill training and marketing techniques in the process of establishing an enterprise by them for more sustainability.

Originality/value

Micro-enterprises add values to a country’s economy by creating jobs, enhancing income, strengthening purchasing power, lowering costs and adding business convenience.

Details

Journal of Enterprising Communities: People and Places in the Global Economy, vol. 9 no. 4
Type: Research Article
ISSN: 1750-6204

Keywords

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Case study
Publication date: 12 December 2022

Archit Vinod Tapar, Deepika Jain and Archana Patro

The learning outcomes are as follows: to decipher the role of technology in the supply chain management (SCM); to understand the importance of supply chain integration with…

Abstract

Learning outcomes

The learning outcomes are as follows: to decipher the role of technology in the supply chain management (SCM); to understand the importance of supply chain integration with various stakeholders in the supply chain in increasing efficiency and effectiveness; and to comprehend the challenges in the implementation of technology in SCM.

Case overview/synopsis

This case study presents Haryana’s challenges in implementing the digitization of the supply of food grains to the public. Mr Srinivas, a consultant to the Department of Food and Public Distribution, is required to suggest the future roadmap while accounting for the challenges faced in the digitization of the distribution of grains to the public in the state of Haryana. The students are expected to use the information given in the case and exhibits to discuss and critically think about the various stakeholders involved when change initiatives are implemented on an organizational level and recommend solutions based on the voices of various internal stakeholders.

Complexity academic level

Postgraduate/Masters in Business Administration/Masters in Management.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 9: Operations and Logistics.

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