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1 – 10 of 44Manu Jose, Ruchi Sharma and Madan Dhanora
The purpose of this paper is to examine the impact of research and development (R&D) tax credit scheme on participating firm’s R&D expenditure in Indian manufacturing firms…
Abstract
Purpose
The purpose of this paper is to examine the impact of research and development (R&D) tax credit scheme on participating firm’s R&D expenditure in Indian manufacturing firms.
Design/methodology/approach
Tobit model is used to estimate the impact of R&D tax credit scheme on R&D expenditure.
Findings
The results suggest that there is a positive and significant effect of R&D tax incentive scheme on R&D. The introduction of the R&D tax credit scheme and the policy amendment are positively influencing R&D investment of the participating firms. However, industry-specific results suggest that these positive results are mainly driven by electronic and pharmaceutical industries. The study reveals that import of technology, import of raw materials, competition, profitability, age and leverage position of the firm also positively influence the R&D intensity of the firm.
Research limitations/implications
The study is limited to the listed manufacturing firms in India.
Practical implications
The study evaluates the innovation policy to help the policymakers in designing an effective policy.
Originality/value
The paper provides evidence on the impact of R&D tax incentive scheme on firm innovation to explain the factors that contribute to the R&D expenditure of the participating firms. It also summarises the effectiveness of tax incentive scheme on different industry groups and firm size.
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Keywords
Liang Guo, Ruchi Sharma, Lei Yin, Ruodan Lu and Ke Rong
Competitor analysis is a key component in operations management. Most business decisions are rooted in the analysis of rival products inferred from market structure. Relative to…
Abstract
Purpose
Competitor analysis is a key component in operations management. Most business decisions are rooted in the analysis of rival products inferred from market structure. Relative to more traditional competitor analysis methods, the purpose of this paper is to provide operations managers with an innovative tool to monitor a firm’s market position and competitors in real time at higher resolution and lower cost than more traditional competitor analysis methods.
Design/methodology/approach
The authors combine the techniques of Web Crawler, Natural Language Processing and Machine Learning algorithms with data visualization to develop a big data competitor-analysis system that informs operations managers about competitors and meaningful relationships among them. The authors illustrate the approach using the fitness mobile app business.
Findings
The study shows that the system supports operational decision making both descriptively and prescriptively. In particular, the innovative probabilistic topic modeling algorithm combined with conventional multidimensional scaling, product feature comparison and market structure analyses reveal an app’s position in relation to its peers. The authors also develop a user segment overlapping index based on user’s social media data. The authors combine this new index with the product functionality similarity index to map indirect and direct competitors with and without user lock-in.
Originality/value
The approach improves on previous approaches by fully automating information extraction from multiple online sources. The authors believe this is the first system of its kind. With limited human intervention, the methodology can easily be adapted to different settings, giving quicker, more reliable real-time results. The approach is also cost effective for market analysis projects covering different data sources.
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Qayoom Khachoo and Ruchi Sharma
The study is an attempt to analyze the impact of foreign direct investment (FDI) on research and development (R&D) behavior of incumbent firms’, both domestic and foreign…
Abstract
Purpose
The study is an attempt to analyze the impact of foreign direct investment (FDI) on research and development (R&D) behavior of incumbent firms’, both domestic and foreign, operating in Indian manufacturing sector. FDI inflows into the host country escalates the level of competition compelling domestic as well as existing foreign firms to adjust their spending on R&D. The purpose of this paper is to propose that response of domestic and existing foreign firms to the FDI entry vary, with domestic firms increasing their spending on R&D whereas foreign firms reducing it.
Design/methodology/approach
Using a rich firm level data set from Indian manufacturing for the period 2000-2012, the study utilizes Heckman’s two- step estimation strategy to estimate the impact of FDI entry on R&D behavior of incumbents.
Findings
FDI entry significantly increases the tendency of domestic and foreign firms to invest in R&D; however, the impact on R&D intensity for both domestic and foreign firms appears to be minimal.
Originality/value
The study contributes to the existing literature on two fronts. One, unlike other studies, it examines the impact of FDI entry not only on R&D behavior of domestic firms but also on the R&D behavior of existing foreign firms. Second, it addresses the problem of selection bias that has been largely ignored by majority of empirical studies on R&D.
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Avinash Kumar Shrivastava and Ruchi Sharma
The purpose of this paper is to develop a new software reliability growth model considering different fault distribution function before and after the change point.
Abstract
Purpose
The purpose of this paper is to develop a new software reliability growth model considering different fault distribution function before and after the change point.
Design/methodology/approach
In this paper, the authors have developed a framework to incorporate change-point in developing a hybrid software reliability growth model by considering different distribution functions before and after the change point.
Findings
Numerical illustration suggests that the proposed model gives better results in comparison to the existing models.
Originality/value
The existing literature on change point-based software reliability growth model assumes that the fault correction trend before and after the change is governed by the same distribution. This seems impractical as after the change in the testing environment, the trend of fault detection or correction may not follow the same trend; hence, the assumption of same distribution function may fail to predict the potential number of faults. The modelling framework assumes different distributions before and after change point in developing a software reliability growth model.
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Ruchika Sharma and Asha Prasad
The purpose for this paper is to determine the various dimensions of employer brand in the IT sector of India and analyse their impact on the final intent of the candidates to…
Abstract
Purpose
The purpose for this paper is to determine the various dimensions of employer brand in the IT sector of India and analyse their impact on the final intent of the candidates to join an organisation. A five-factor employer brand (EB) model and three-factor intent to join (ITJ) model have been tested for reliability and validity through confirmatory factor analysis (CFA). A structural model is empirically tested with EB as independent variable and ITJ as dependent variable through structured equation modelling.
Design/methodology/approach
The items for the independent variable EB are generated with the help of literature and semi-structured interviews with final-year student placement coordinators of B.Tech and MCA, studying in central, state and deemed universities of India. For ITJ, the variables are adopted from the literature and confirmed through CFA in the Indian context. Structured equation modelling has been used to analyse the relationship between EB and ITJ.
Findings
Five dimensions of EB were explored as growth and development opportunity, company’s reputation, acceptance and belongingness, work–life balance and ethics and CSR. ITJ was found to be composed of intent to pursue, employer’s attractiveness and employer’s reputation. EB has been found to be an effective contributor to ITJ.
Research limitations/implications
The current study has been conducted in the IT sector, and other sectors have not been included. The universities considered for the study were limited to central, state and deemed universities of India. Apart from intention to join, there are other attitudinal and behavioural aspects that have not been included in the current study.
Originality/value
This study gives empirical evidence on EB to be an important antecedent of ITJ from the perspective of prospective employees of a developing nation.
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Keywords
Sharad Sharma, Rajesh Kumar Singh, Ruchi Mishra and Nachiappan (Nachi) Subramanian
This study aims to address three research questions pertaining to climate neutrality within the supply chain of metal and mining industry: (1) How can an organization implement…
Abstract
Purpose
This study aims to address three research questions pertaining to climate neutrality within the supply chain of metal and mining industry: (1) How can an organization implement practices related to climate neutrality in the supply chain? (2) How do members of the supply chain adopt different measures and essential processes to assist an organization in responding to climate change-related concerns? (3) How can the SAP-LAP framework assist in analyzing and proposing solutions to attain climate neutrality?
Design/methodology/approach
To address the proposed research questions concerning climate neutrality, this study employs a case study approach utilizing the SAP-LAP (situation, actor, process–learning, action, performance) framework. Within the SAP-LAP framework, adopting a natural resource-based perspective, the study thoroughly examines the intricacies and interactions among existing situations, pertinent actors and processes that impact climate initiatives within a metal and mining company.
Findings
The study's findings suggest that organizations can achieve the objective of climate neutrality by prioritizing resources and capabilities that lead to reduced GHG emissions, lower energy consumption and optimal resource utilization. The study further proposes key elements that significantly influence the pursuit of climate neutrality within enterprises.
Research limitations/implications
This study is one of the earliest contributions to the development of a holistic understanding of climate neutrality in the supply chain of the metal and mining industry.
Practical implications
The study will assist practitioners and policymakers in comprehending the present circumstances, actors and processes involved in enterprises' supply networks in order to attain climate neutrality in supply chains, as well as in taking the right steps to enhance performance.
Originality/value
This study presents a climate neutrality model and provides valuable insights into emission management, contributing to the achievement of the climate neutrality objective.
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Ruchi Agarwal and Sanjay Kallapur
The purpose of this study is to explore the best practices for improving risk culture and defining the role of actors in risk governance.
Abstract
Purpose
The purpose of this study is to explore the best practices for improving risk culture and defining the role of actors in risk governance.
Design/methodology/approach
This paper presents an exemplar case of a British insurance company by using a qualitative case research approach.
Findings
The case study shows how the company was successful in changing from a compliance-based and defensive risk culture to a cognitive risk culture by using a systems thinking approach. Cognitive risk culture ensures that everybody understands risks and their own roles in risk governance. The change was accomplished by adding an operational layer between the first and second lines of defense and developing tools to better communicate risks throughout the organization.
Practical implications
Practitioners can potentially improve risk governance by using the company’s approach. The UK regulator’s initiative to improve risk culture can potentially be followed by other regulators.
Originality/value
This is among the few studies that describe actual examples of how a company can improve risk culture using the systems approach and how systems thinking simultaneously resolves several other issues such as poor risk reporting and lack of clarity in roles and responsibilities.
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Ruchi Garg, Ritu Chhikara, Ramendra Singh, Gautam Agrawal, Vishal Talwar and Vedant Mehra
This paper aims to assess the factors favoring the adoption of the challenges faced and support mechanism, which will lead to the proliferation of glass fiber-reinforced gypsum…
Abstract
Purpose
This paper aims to assess the factors favoring the adoption of the challenges faced and support mechanism, which will lead to the proliferation of glass fiber-reinforced gypsum (GFRG) technology in India.
Design/methodology/approach
Semi-structured interviews with 35 experts, including construction developers, architects, contractors, government officials and design consultants, were conducted. This qualitative data was analyzed using thematic analysis and matrix analysis.
Findings
GFRG-based buildings produce much less carbon footprints as compared to traditional ones and can be safely recommended as a promising, environmentally sensitive technology of the future. The major drivers in its adoption are its efficient construction capability, energy and soil conservation and significant waste reduction. Some of the challenges in implementation are long planning time, lack of skilled labor, lack of awareness about green building technologies and myopic perception of high cost incurred in green building adoption in people’s minds.
Practical implications
This study establishes that the construction industry has the potential to contribute toward creating a sustainable and green planet. It does so by evaluating and then positively positioning GFRG as an environmentally friendly building system.
Originality/value
The harmful effects of continuous environmental manipulation by humans leading to its degradation is a critical discussion agenda for most nations of the world. The issue has been taken up seriously by developing countries, and now, developing countries are also becoming sensitised to it. Several policies toward the attainment of this goal have been formulated and are being implemented by government and private bodies. Although some authors have studied the issues and challenges related to the adoption of green buildings, their attempts mostly focused on developed countries. Moreover, research that investigated the evaluation of the GFRG building system as a successful green technology of the future is inadequate.
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Ruchi Tyagi and Suresh Vishwakarma
The Electric Vehicles Initiative (EVI) is a multi-government policy forum devoted to speed up the introduction and adoption of electric vehicles (EVs) worldwide. EVI key themes…
Abstract
Purpose
The Electric Vehicles Initiative (EVI) is a multi-government policy forum devoted to speed up the introduction and adoption of electric vehicles (EVs) worldwide. EVI key themes for sustainable development include energy-efficient transportation with e-mobility (drive-by science and technology), reduced greenhouse gas emissions, decreased oil dependence and improved local air quality. India's transport sector contributes around 142 million tons of CO2 every year, with road transport contributing 123 million tons.
Design/methodology/approach
Review methodology forms a basis for knowledge development, creating guidelines for policy and practice. Quality assessment of review articles is by using mixed methods appraisal tool (MMAT).
Findings
The research trends on Sustainable Development Goal (SDG) technological and social aspects highlight the critical role of technology in economic and social development, emphasising infrastructure development and communication of government policy and rewards for awareness and end-user acceptance.
Originality/value
The scenario brings a school of thought if it is equally important to address a social perspective to improve India's perception and acceptance of technology-enabled EVs.
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