Search results

1 – 9 of 9
Article
Publication date: 9 July 2021

Charu Verma and Pradeep Kumar Suri

The purpose of this paper is to highlight the use of big data through patentometric insights for R&D decision-making.

Abstract

Purpose

The purpose of this paper is to highlight the use of big data through patentometric insights for R&D decision-making.

Design/methodology/approach

This study assesses the inventive activity through ‘big data’ patents, registered by inventors worldwide, using WIPO Patentscope database. The objective is to use the insights from patentometrics for R&D decision-making. The data from WIPO PatentScope (https://patentscope.wipo.int/search/en/search.jsf) was searched for current patent scenario in area of ‘big data’. The data was further organized and cleaned using the Google ‘OpenRefine’. Data was pre-processed to remove all null values. Cleaned data was analyzed using programming language ‘R’, MS Excel (charts and Pivot tables) and free data visualization tool called ‘Tableau Public’, to get insights for R&D decision-making.

Findings

The key insights included trends (patents with years of publication), top technologies trending the current space, top organizations leading in these technologies and the top inventors who are publishing patents in these technologies through leading organizations were drawn. Details in Section 5 in the paper.

Research limitations/implications

Global patent data is multi-lingual and spreads across a set of multiple databases. Domain experts may be required to assess, identify and extract the relevant information for analysis and visualization of multi-lingual distributed data sets. Government organizations generally have multi-dimensional goals that may be more toward societal benefits. On the other hand, the commercial companies are more focused on profit. Therefore, the performance management process has to be really effective because it is critical for getting value in the government sector.

Practical implications

Insights from patent analytics serve as the important input to R&D managers as well as policymakers to assess the global needs to plan the national orientation according to the global market. This will help further for R&D projects prioritization, planning, budget allocations, human capital planning and other gamut of R&D management and decision-making.

Social implications

Facilitation for R&D institutions (government as well as private) to formulate the research strategy for the domains or research areas to delve into. R&D decisions will be completely data-driven making them more accurate, reliable, valid and informed. These insights are very relevant for policymakers as well to facilitate the need assessment to determine the National priorities, make improvements in meeting societal country-level challenges during the resource allocation at top and subsequently at all other levels.

Originality/value

Data analytics of global patents in “big data” till 2019 to get insights to facilitate R&D decision-making.

Details

Digital Policy, Regulation and Governance, vol. 23 no. 4
Type: Research Article
ISSN: 2398-5038

Keywords

Article
Publication date: 21 June 2022

Anchal Gupta, Rajesh Kumar Singh, K. Mathiyazhagan, Pradeep Kumar Suri and Yogesh K. Dwivedi

This study aims to identify service quality dimensions for logistics service providers (LSPs) and to examine their relationships with customer satisfaction and customer loyalty.

1806

Abstract

Purpose

This study aims to identify service quality dimensions for logistics service providers (LSPs) and to examine their relationships with customer satisfaction and customer loyalty.

Design/methodology/approach

Service quality dimensions are identified from vast literature review. Customers who take services from LSPs were surveyed to collect data on basis of developed survey instrument. Structural Equation Modelling (SEM) is applied to test the proposed research hypotheses.

Findings

The study shows that all the five service quality constructs, i.e. “Operational Quality”, “Resource Quality”, “Information Quality”, “Personnel Contact Quality” and “Customization and Innovation Quality” have direct relationship with customer satisfaction. They also have indirect relationship with customer loyalty, implying the full mediation of customer satisfaction.

Practical implications

The results of the study suggest that the logistics service quality (LSQ) can be measured multi-dimensionally. It provides clear implications to LSPs for improvement of service quality. The present research work is expected to be useful for both, logistics service providers and the customer organizations, which take services from LSPs. LSPs can develop strategies to improve their service quality on basis of findings from this study.

Originality/value

The present research will help in extending the existing literature on service quality in context to LSPs.

Details

The International Journal of Logistics Management, vol. 34 no. 6
Type: Research Article
ISSN: 0957-4093

Keywords

Article
Publication date: 15 March 2018

Anurag Tiruwa, Rajan Yadav and Pradeep Kumar Suri

The purpose of this paper is to understand the customer attitude and perception towards the online brand communities (OBCs) and purchase intention (PI). The paper also analyses…

1495

Abstract

Purpose

The purpose of this paper is to understand the customer attitude and perception towards the online brand communities (OBCs) and purchase intention (PI). The paper also analyses the moderating effects of age, income and internet usage on the relationship among the proposed variables.

Design/methodology/approach

The study employed a multi-analytical approach through the use of structural equation modelling and neural networks to test the proposed framework. The information was obtained from 236 respondents using a web-based questionnaire survey. Further, moderation analysis, with age, annual family income and weekly internet usage as moderating variables, was conducted on the structural model.

Findings

The results of the analysis demonstrate that the multi-group moderating effect for different groups within age, income and internet usage have significant differences for the relationships between the independent variables content perception, perceived usefulness, critical mass, brand attachment and attitude towards brand and the dependent variable, PI.

Originality/value

The study is one of its kind to understand and analyse the role of moderating variables (age, income and internet usage) on OBC-induced PI.

Details

Journal of Advances in Management Research, vol. 15 no. 3
Type: Research Article
ISSN: 0972-7981

Keywords

Article
Publication date: 6 November 2017

Rajan Yadav, Anurag Tiruwa and Pradeep Kumar Suri

The growing use of internet-based learning (IBL) platforms in institutions of higher education is producing profound changes in the traditional teaching learning process…

1064

Abstract

Purpose

The growing use of internet-based learning (IBL) platforms in institutions of higher education is producing profound changes in the traditional teaching learning process worldwide. This paper aims to identify and understand the ways in which higher education institutions draw benefits by the use of such means, synthesizing the literature research.

Design/methodology/approach

The study synthesized the literature research by using a mixed method approach in which both Web of Science (WoS) and bibliographic techniques were used to retrieve the relevant data base.

Findings

The comprehensive review of the literature suggests that communication technology (CT), massive open online courseware (MOOCs), social networking sites (SNSs), blogs, real simple syndication (RSS) and YouTube are creating new possibilities and avenues of collaborative learning by transforming the traditional class and teacher-centric system.

Research limitations/implications

Multiplicity of the IBL platforms and rapid technological obsolesce are some of the limitations of this paper.

Originality/value

The findings of this study are highly useful in developing a strategic framework to accelerate the integration of IBL platforms to make teaching learning process more interactive and informative.

Details

Journal of International Education in Business, vol. 10 no. 2
Type: Research Article
ISSN: 2046-469X

Keywords

Article
Publication date: 31 May 2018

Anurag Tiruwa, Rajan Yadav and Pradeep Kumar Suri

Social networking sites (SNSs), especially Facebook, have made deep inroads in the teaching-learning process worldwide. The purpose of this paper is to understand the key factors…

Abstract

Purpose

Social networking sites (SNSs), especially Facebook, have made deep inroads in the teaching-learning process worldwide. The purpose of this paper is to understand the key factors which influence a students’ intention to use Facebook for academic usage.

Design/methodology/approach

A web-based questionnaire survey was administered among 218 students enrolled in higher education programme of universities/institutions in National Capital Territory of Delhi. The relationship among the proposed variable were tested through structural equation modelling and neural network (NN) approach. SEM is used to identify and validate the factors significant to influence the intention to use Facebook among students. To further find which of the factors are more influential, factors NN with tenfold cross-validation was used to identify the factors which are more influential among the ones proposed in this study.

Findings

The results suggested that the proposed framework has a good fit and the five relationships hypothesized were found to be significant; thus, establishing that the antecedent factors have a positive influence on the intention of users (student) to actively use Facebook as an academic medium for collaborative learning.

Originality/value

This study establishes that the antecedent factors identified in the course of this study have a positive influence on the intention to use Facebook for higher academics and collaborative learning by the students. This paper suggests and supports the adoption and usage of Facebook as a learning tool for higher academics.

Details

Journal of Applied Research in Higher Education, vol. 10 no. 3
Type: Research Article
ISSN: 2050-7003

Keywords

Article
Publication date: 13 May 2014

Pradeep Kumar Suri

The existing government processes are often not able to cope-up with the dynamic context of e-governance due to their rigid character as reflected in the dismal performance of…

Abstract

Purpose

The existing government processes are often not able to cope-up with the dynamic context of e-governance due to their rigid character as reflected in the dismal performance of e-governance projects. In this article, flexibility of the key processes and e-governance performance have been analyzed based on six agriculture related projects in India. The analysis has brought out implications for researchers, practitioners and society.

Design/methodology/approach

Based on a review of literature, new constructs have been proposed and hypothesis formulated to study flexibility of processes and performance of e-governance. The empirical part of the study involves an opinion survey of officers involved in planning of the identified projects. The proposed constructs have been validated based on reliability and confirmatory factor analysis and used further for statistical analysis and interpretation.

Findings

The research has revealed that “flexibility of processes” is a predictor of “performance of e-governance”. The analysis has further reflected the need for reengineering of conventional processes by embedding “change mechanisms” in processes for improving e-governance performance.

Practical implication

The findings of this article are expected to sensitize the government officials and other actors involved in the planning and implementation of e-governance projects to analyse the underlying processes from the perspective of flexibility and take measures for transforming the conventional rigid processes into versatile and adaptive processes by introducing change mechanisms. Such redesigned processes are expected to lead to better performance of e-governance initiatives.

Originality/value

This paper attempts to address the gap with respect to the lack of measures for analysing the relationship between flexibility of processes and performance of e-governance projects. The article opens the door for further research in terms of defining additional constructs such as “changing situation” and “competence level of actors” and exploring their predictive relationships with “performance of e-governance”. The context-specific interpretations of validated linkages influencing performance shall provide the base for arriving at an empirically founded synthesized strategic framework for improving the performance of e-governance projects.

Details

Transforming Government: People, Process and Policy, vol. 8 no. 2
Type: Research Article
ISSN: 1750-6166

Keywords

Article
Publication date: 15 May 2017

Parul Jain Gupta and Pradeep Suri

Most of the existing studies in e-governance context have attempted to measure public value of projects in terms of quality of services provided, cost effectiveness of public…

1329

Abstract

Purpose

Most of the existing studies in e-governance context have attempted to measure public value of projects in terms of quality of services provided, cost effectiveness of public organizations and extent to which public organizations are able to meet their social objectives. However, it is also important to explore variables influencing public value to pursue for attaining high public value from such projects. This paper aims to attempt to explore such variables based on Situation-Actor-Process (S-A-P) framework. In India, physical presence of citizens is still required at many public centers established for delivering a variety of government services. A citizen at the time of his visit to a public service center faces a situation, deals with different actors and is subjected to a set of processes. At the end of the service cycle, the citizen develops a perception about public value of the e-governance project. The paper aims at exploring the likely influence of “Improved Situation”, “Capability Level of Actors” and “Flexible Process Workflow” on “Public Value” of e-governance projects.

Design/methodology/approach

On the basis of a review of literature, variables likely to be influencing public value have been identified in terms of situation, actors and processes. A questionnaire was designed, and a survey conducted to measure public value and S-A-P-related variables in the context of two e-governance projects, namely, Passport Seva Project and Driving License Project in India. Survey data have been analyzed to study the influence of S-A-P-related variables on the public value of e-governance projects. Learning issues have been synthesized in terms of implications for practitioners as well as researchers for enhancing public value of e-governance projects.

Findings

The study has revealed that a citizen-centric e-governance project with observed high value of conceptualized S-A-P variables is expected to be characterized by high public value. The analysis has also reflected upon a need for an in-depth study to explore empirically validated linkages between S-A-P variables and public value of e-governance projects.

Research limitations/implications

The paper is based on a pilot study in the context of two citizen-centric e-governance projects. It is required to study more such projects for the purpose of validating the proposed framework and arriving at generalized findings.

Practical implications

The study results are expected to sensitize practitioners to keep in view conceptualized variables related to situation, actors and processes while planning for citizen-centric e-governance projects. This may result in improved situation at the public service centers, better performance of employees and more flexible processes which may further help to increase the public value of such projects.

Practical implications

E-governance projects can perform a vital role in improving public value. In the context of India, a key objective of e-governance projects is to improve the service delivery of citizen-centric projects. The findings of the pilot study, based on the select two citizen-centric e-governance projects in India, reflect upon the likely relationship between public value and S-A-P variables. Thrust on improving situational aspects, as conceptualized in this study, is expected to improve comfort level of citizens while taking benefit of IT enabled services of government organizations. Better capability of actors at public organizations is likely to build trust and confidence among citizens toward these services. Adoption of flexible processes by public organizations is expected to ensure seamless delivery of services to citizens through alternate options. Enhanced delivery of services satisfies the need for improved public value and create positive attitude among society toward public organizations. It contributes to satisfaction level of citizens in terms of saving of time, money and efforts.

Originality/value

A review of literature has revealed a few studies undertaken in recent past with focus on measurement of public value in e-governance context. This paper is based on a novel idea of exploring the likely relationship between conceptualized S-A-P-related variables and public value of citizen-centric e-governance projects. Recommendations based on learning issues are expected to trigger suitable interventions to generate high public value from such projects.

Details

Transforming Government: People, Process and Policy, vol. 11 no. 2
Type: Research Article
ISSN: 1750-6166

Keywords

Article
Publication date: 5 May 2020

Rajesh Sharma and Pradeep Kautish

Over the years, India has witnessed irregular FDI inflows. Therefore, this study aims to explore the asymmetric impact of per capita income, final consumption expenditure…

Abstract

Purpose

Over the years, India has witnessed irregular FDI inflows. Therefore, this study aims to explore the asymmetric impact of per capita income, final consumption expenditure, globalization index and exchange rate on FDI inflows in India.

Design/methodology/approach

Using the nonlinear autoregressive distributed lag bounds framework and unknown structural break, the study investigates the impacts of selected macroeconomic variables in driving FDI inflows in India during the study period (1979-2016).

Findings

The outcomes of the study confirm the asymmetric relationship between FDI inflows and its determinants during the study period. The results have confirmed that the improvement in per capita income, private consumption expenditure, globalization index and currency value appreciation play a crucial role in increasing FDI inflows in India. In contrast, the downside movements in the volume of consumption expenditure, globalization index and depreciation of the currency value in relation to the trade partners result in reducing the volume of FDI inflows in the long run.

Originality/value

For determining FDI inflows, previous studies have considered the overall impact of its potential determinants, which may provide partial information about the phenomenon. The adopted nonlinear approach highlights that both the types of fluctuations (i.e. upside and downside) in the independent variables may affect FDI inflows differently and substantially. The nonlinear association between FDI and selected determinants may be vital in formulating a long-term policy.

Details

Journal of Asia Business Studies, vol. 14 no. 5
Type: Research Article
ISSN: 1558-7894

Keywords

Article
Publication date: 16 November 2015

Dhwani Gambhir and Seema Sharma

Productivity gain in the manufacturing sector draws immense significance for all developing countries, particularly due to its contribution in enhancing competitiveness and…

1049

Abstract

Purpose

Productivity gain in the manufacturing sector draws immense significance for all developing countries, particularly due to its contribution in enhancing competitiveness and promoting economic growth in the long run. The purpose of this paper is to study the sources of productivity gain for large and small-scale manufacturing firms.

Design/methodology/approach

This paper studies productivity performance of Indian textile manufacturing industry using firm-level panel data of 160 companies for the period 2007-2008 to 2012-2013. The output-oriented Malmquist productivity index has been computed through data envelopment analysis. Further, the sources of productivity gain are identified for the entire textile industry as well as for the small and large-scale sector companies separately.

Findings

Regarding the sources of productivity gain, technology change and scale efficiency seem to be the major drivers. Pure efficiency change is a concern for all firms irrespective of scale. The results suggest that moderately large companies are exhibiting better productivity performance during the study period.

Research limitations/implications

The research is limited to a single industry, reference database and methodology. There is scope for further research at the micro-level to analyse the drivers of productivity for enterprises operating at different scales.

Originality/value

The paper contributes to existing literature by identifying the core action area for improving productivity performance in Indian textile manufacturing as the pure efficiency component. It also adds to research on the most productive scale of operation in manufacturing.

Details

Journal of Economic and Administrative Sciences, vol. 31 no. 2
Type: Research Article
ISSN: 1026-4116

Keywords

1 – 9 of 9