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Article
Publication date: 21 January 2021

Nripendra Kumar and Kunal K. Ganguly

This study aims to understand the impact of professionalism (PR) of the workplace learning support team on learning outcomes. The context of this study is an e-procurement system…

952

Abstract

Purpose

This study aims to understand the impact of professionalism (PR) of the workplace learning support team on learning outcomes. The context of this study is an e-procurement system implementation. Management provides initial formal training (TR) to potential users of the system and also arranges informal learning support by deploying the support team for technical guidance/resolving issues on day-to-day basis for successful implementation. Learning outcome has been measured in terms of perceived ease of use (PEU) by employees and also in terms of the actual use (AU) of the system. This study also explores the role of timely and appropriate initial TR on learning outcomes.

Design/methodology/approach

An empirical study has been conducted by collecting survey data from 167 employees using an e-procurement system from India. SPSS 22.0 with add-in Process Macro v3.4 developed by Hayes has been used for statistical analysis.

Findings

The results indicate that the PR of the workplace learning support team positively influences employee’s PEU of the system and also the final required outcome in terms of the AU of the system. This study also found that the employee’s PEU of the system mediates the relationship between the PR of the workplace learning support team and the AU of the system. The result also indicates that higher is the user perception of the appropriateness of initial TR, higher is the effect of PR of the workplace learning team on user learning outcome.

Originality/value

This study is an attempt to investigate the unexplored aspect of workplace learning. This paper contributes by studying for the first time, the impact of PR of the workplace learning support team and appropriate initial TR in enhancing the learning outcome in the context of e-procurement implementation.

Details

Journal of Workplace Learning, vol. 33 no. 4
Type: Research Article
ISSN: 1366-5626

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Article
Publication date: 12 March 2020

Nripendra Kumar and Kunal K. Ganguly

The purpose of this research paper is to identify the non-financial e-procurement performance measures and find out whether these non-financial performance measures are leading…

1968

Abstract

Purpose

The purpose of this research paper is to identify the non-financial e-procurement performance measures and find out whether these non-financial performance measures are leading indicator of impact on firm financial performance by adoption of e-procurement in terms of reduction in production cost.

Design/methodology/approach

The research model has been tested with the data collected from target procurement professionals in India. Structural equation modelling has been used for testing conceptual model hypotheses including mediation. The phantom model approach for testing multiple mediators has deployed.

Findings

The present empirical study found that non-financial performance measure of e-procurement, namely, transparency, coordination, efficiency and effectiveness are leading indicators of the impact of e-procurement adoption on production cost. This paper suggests that managers should try to design the e-procurement platform or opt for third party platform which reduces transaction cost to a minimum for enhanced coordination, work on transparency policy with maximum disclosure of information for enhanced transparency and ask for a fast and responsive system for enhanced efficiency and effectiveness.

Originality/value

This study, first time, attempted to identify non-financial performance measures of e-procurement and tried to understand how these intermediate non-financial performance measures impact the firm financial performance. The interdependence of non-financial performance measures has also been explored, and the research model has been developed to empirically examine the interdependence of these financial measures and its impact on production cost.

Details

International Journal of Productivity and Performance Management, vol. 70 no. 1
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 23 July 2020

Nripendra Kumar and Kunal K. Ganguly

The purpose of this paper is to understand the process through which external diffusion of business-to-business (B2B) e-procurement impacts firm performance. The research model…

1916

Abstract

Purpose

The purpose of this paper is to understand the process through which external diffusion of business-to-business (B2B) e-procurement impacts firm performance. The research model has been developed to empirically examine the role of information transparency and supply chain coordination in improving the firm financial performance by external diffusion of e-procurement.

Design/methodology/approach

The survey is conducted in India with a target population of purchasing professionals working on the B2B e-procurement platform. The measurement model was first tested by using confirmatory factor analysis for reliability and validity, then structural equation modeling (SEM) was used to test the hypotheses of the research model using AMOS 22. The phantom model approach has been used for testing multiple mediators.

Findings

The result of the study highlights the importance of information transparency and supply chain coordination in enhancing the firm financial performance by external diffusion of e-procurement. The results establish the role of information transparency in enhancing firm performance by improving supply chain coordination. The results also indicate that supply chain coordination mediates the relationship between external diffusion of e-procurement and firm financial performance.

Originality/value

This is the first study that has focused on the external diffusion of e-procurement and its impact on firm performance. Also, this study attempted to understand the process through which external diffusion of e-procurement impacts the firm financial performance.

Details

Journal of Enterprise Information Management, vol. 34 no. 4
Type: Research Article
ISSN: 1741-0398

Keywords

Abstract

Subject area

Strategy.

Study level/applicability

The case can primarily be used for a Strategic Management course for teaching the revival strategies for financially weak plants. The case highlights the need to shift from a product manufacturing perspective to a market orientation perspective and, hence, may add value as an add-on case in a Strategic Marketing course. The case also covers the topic of benchmarking which may be of use in an Operations Management course.

Case overview

DJSL Ltd. is the largest engineering and manufacturing enterprise in India in the energy-related/infrastructure space in the public sector. Its Lucknow unit, manufacturing porcelain insulators and wear resistant ceramic lining (CERA LINING), has started reporting losses. A change of management took place in October 2015, whereby Mr. S P Singh was appointed as the Head of the Lucknow Unit. Mr. Singh had rich functional experience of 30 years, mainly in the domains of strategy, project execution and commercial aspects. He was asked to come up with a revival plan for the Unit by the top management of DJSL. The case highlights the importance of operational issues in turnaround management.

Expected learning outcomes

Students may be encouraged to debate the benchmarking practices that are best suited for the Lucknow unit. They can also discuss the impact of benchmarking efforts upon turnaround strategy. Students are also encouraged to understand the constraints which may limit the success of initiatives impacting operational improvements. Students need to develop the understanding of marketing strategy to perform a SWOT analysis of each product of the Lucknow unit and to sense the business opportunities in and around the environment. Students need to discuss how productivity may be improved with the adoption of appropriate people development strategies. Students are encouraged to discuss the revival/turnaround strategies and to identify the influence of improvement in operational efficiency/productivity upon revival plan.

Supplementary materials

Teaching Notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

Subject code

CSS: 11: Strategy.

Details

Emerald Emerging Markets Case Studies, vol. 8 no. 3
Type: Case Study
ISSN: 2045-0621

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Article
Publication date: 16 October 2018

Mahmud Akhter Shareef, Yogesh K. Dwivedi, Vinod Kumar, Gareth Davies, Nripendra Rana and Abdullah Baabdullah

The purpose of this paper is to understand the integrated impact of the application of protection measures against identity theft on consumers’ synergistic perception of trust…

3174

Abstract

Purpose

The purpose of this paper is to understand the integrated impact of the application of protection measures against identity theft on consumers’ synergistic perception of trust, the cost of products/services and operational performance (OP) – all of which in turn is postulated to contribute to purchase intention (PI) when shopping online.

Design/methodology/approach

In order to accomplish the specified aim, this study first conducted an experiment by involving the students from a university in Bangladesh. Then a survey was conducted to capture their opinion based on the previous experiment.

Findings

The study identified that in e-commerce, OP and trust have potential impact on pursuing consumers’ PI. Traditionally, price is always an issue in marketing; however, for e-commerce, this issue does not have direct impact on PI.

Research limitations/implications

The main limitation of this study is that a less established e-commerce example was utilized to conduct the experiment and survey for validating the model. Also, the study was conducted only in the context of Bangladesh and a student sample was utilized. Future studies can test the model in different contexts (particularly to verify the impact of privacy) by utilizing data from consumers.

Practical implications

This study has resolved a controversial issue by generating clear guidelines that the overall conjoint effect of OP, trust, and price on PI is neither negative nor neutral. Synergistically, the application of these controlling tools of identity theft can substantially enhance consumers’ trust, which is the single most predictor to pursue consumer PI.

Originality/value

This study has provided in-depth insight into the impact of different controlling measures in e-commerce PI. Practitioners have potential learning from this study that if consumers find the application of different controlling mechanisms against cybercrimes, particularly identity theft, enhancing the reliability, authenticity and security of transactions in this virtual medium, they do not mind paying a higher price. Such insights have not been provided by existing studies on this topic. Developing trust on e-commerce purchase is the driving force, not the price.

Details

Information Technology & People, vol. 32 no. 6
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 21 May 2024

Rajat Kumar Behera, Pradip Kumar Bala, Nripendra P. Rana, Raed Salah Algharabat and Kumod Kumar

With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to…

1258

Abstract

Purpose

With the advancement of digital transformation, it is important for e-retailers to use artificial intelligence (AI) for customer engagement (CE), as CE enables e-retail brands to succeed. Essentially, AI e-marketing (AIeMktg) is the use of AI technological approaches in e-marketing by blending customer data, and Retail 4.0 is the digitisation of the physical shopping experience. Therefore, in the era of Retail 4.0, this study investigates the factors influencing the use of AIeMktg for transforming CE.

Design/methodology/approach

The primary data were collected from 305 e-retailer customers, and the analysis was performed using a quantitative methodology.

Findings

The results reveal that AIeMktg has tremendous applications in Retail 4.0 for CE. First, it enables marketers to swiftly and responsibly use data to anticipate and predict customer demands and to provide relevant personalised messages and offers with location-based e-marketing. Second, through a continuous feedback loop, AIeMktg improves offerings by analysing and incorporating insights from a 360-degree view of CE.

Originality/value

The main contribution of this study is to provide theoretical underpinnings of CE, AIeMktg, factors influencing the use of AIeMktg, and customer commitment in the era of Retail 4.0. Subsequently, it builds and validates structural relationships among such theoretical underpinning variables in transforming CE with AIeMktg, which is important for customers to expect a different type of shopping experience across digital channels.

Details

Marketing Intelligence & Planning, vol. 42 no. 7
Type: Research Article
ISSN: 0263-4503

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Article
Publication date: 23 August 2018

Anil Kumar, Sachin Kumar Mangla, Sunil Luthra, Nripendra P. Rana and Yogesh K. Dwivedi

Consumers have the multiple options to choose their products and services, which have a significant impact on the pattern of consumer decision making in digital market and further…

4043

Abstract

Purpose

Consumers have the multiple options to choose their products and services, which have a significant impact on the pattern of consumer decision making in digital market and further increases the challenges for the service providers to predict their buying pattern. In this sense, the purpose of this paper is to propose a structural hierarchy model for analyzing the changing pattern of consumer decision making in digital market by taking an Indian context.

Design/methodology/approach

To accomplish the objectives, the research is conducted in two phases. An extensive literature review is performed in the first phase to list the factors related to the changing pattern of consumer decision making in digital market and then fuzzy Delphi method is applied to finalize the factors. In the second phase, fuzzy analytic hierarchy process (AHP) is employed to find the priority weights of finalized factors. The fuzzy set theory allows capturing the vagueness in the data.

Findings

The findings obtained in this study shows that consumers are much conscious about innovative and trendy products as well as brand and quality; therefore, the service providers must think about these two most important factors so that they can able to retain their consumer in their online portal.

Practical implications

The analysis shows that “innovative and trendy” is the first priority factor for the consumers followed by “brand and quality” and “fulfilment and time energy.” The proposed model can help the marketers and service providers in predicting customers’ preferences and their changing pattern efficiently under vague surroundings. The outcomes of this research work not only help the service provider to update their products and services according to consumers’ needs but can also help them to increase profit and minimize their risk.

Originality/value

This work contributes to consumer research literature focusing on problem evaluation in the context of changing pattern of consumer decision making in digital era.

Details

Journal of Enterprise Information Management, vol. 31 no. 5
Type: Research Article
ISSN: 1741-0398

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Article
Publication date: 2 December 2022

Rajat Kumar Behera, Pradip Kumar Bala, Prabin Kumar Panigrahi and Nripendra P. Rana

Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently…

315

Abstract

Purpose

Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator.

Design/methodology/approach

A quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey.

Findings

Findings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people.

Originality/value

The study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).

Details

Benchmarking: An International Journal, vol. 30 no. 10
Type: Research Article
ISSN: 1463-5771

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Article
Publication date: 28 May 2024

Rajat Kumar Behera, Pradip Kumar Bala, Nripendra P. Rana and Zahir Irani

Co-creation of services (CCOS) is a collaborative strategy that emphasises customer involvement and their expertise to increase the value of the service experience. In the service…

728

Abstract

Purpose

Co-creation of services (CCOS) is a collaborative strategy that emphasises customer involvement and their expertise to increase the value of the service experience. In the service ecosystem, artificial intelligence (AI) plays a key role in value co-creation. Therefore, this study is undertaken to empirically uncover how AI can empower CCOS.

Design/methodology/approach

The source data were collected from 305 service provider respondents and quantitative methodology was applied for data analysis.

Findings

New service development augmented with AI provides tangible value to service providers while also providing intangible value to supportive customers. With AI, service providers adapt to new innovations and enrich additional information, which eventually outperforms human-created services.

Research limitations/implications

AI adoption for CCOS empowerment in service businesses brings “service-market fit”, which represents the significant benefits wherein customers contribute to creativity, intuition, and contextual awareness of services, and AI contributes to large-scale service-related analysis by handling volumes of data, service personalisation, and more time to focus on challenging problems of the market.

Originality/value

This study presents theoretical concepts on AI-empowered CCOS, AI technological innovativeness, customer participation in human-AI interaction, AI-powered customer expertise, and perceived benefits in CCOS, and subsequently discusses the CCOS empowerment framework. Then, it proposes a novel conceptual model based on the theoretical concepts and empirically measures and validates the intention to adopt AI for CCOS empowerment. Overall, the study contributes to novel insight on empowering service co-creation with AI.

Details

Marketing Intelligence & Planning, vol. 42 no. 6
Type: Research Article
ISSN: 0263-4503

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Article
Publication date: 9 July 2021

Rajat Kumar Behera, Pradip Kumar Bala, Sai Vijay Tata and Nripendra P. Rana

The best possible way for brick-and-mortar retailers to maximise engagement with personalised shoppers is capitalising on intelligent insights. The retailer operates differently…

1907

Abstract

Purpose

The best possible way for brick-and-mortar retailers to maximise engagement with personalised shoppers is capitalising on intelligent insights. The retailer operates differently with diversified items and services, but influencing retail atmospheric on personalised shoppers, the perception remains the same across industries. Retail atmospherics stimuli such as design, smell and others create behavioural modifications. The purpose of this study is to explore the atmospheric effects on brick-and-mortar store performance and personalised shopper's behaviour using cognitive computing based in-store analytics in the context of emerging market.

Design/methodology/approach

The data are collected from 35 shoppers of a brick-and-mortar retailer through questionnaire survey and analysed using quantitative method.

Findings

The result of the analysis reveals month-on-month growth in footfall count (46%), conversation rate (21%), units per transaction (27%), average order value (23%), dwell time (11%), purchase intention (29%), emotional experience (40%) and a month-on-month decline in remorse (20%). The retailers need to focus on three control gates of shopper behaviour: entry, browsing and exit. Attention should be paid to the cognitive computing solution to judge the influence of retail atmospherics on store performance and behaviour of personalised shoppers. Retail atmospherics create the right experience for individual shoppers and forceful use of it has an adverse impact.

Originality/value

The paper focuses on strategic decisions of retailers, the tactical value of personalised shoppers and empirically identifies the retail atmospherics effect on brick-and-mortar store performance and personalised shopper behaviour.

Details

International Journal of Emerging Markets, vol. 18 no. 8
Type: Research Article
ISSN: 1746-8809

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