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Article
Publication date: 28 October 2022

Astha Sharma, Dinesh Kumar and Navneet Arora

The purpose of the present work is to improve the industry performance by identifying and quantifying the risks faced by the Indian pharmaceutical industry (IPI). The risk values…

872

Abstract

Purpose

The purpose of the present work is to improve the industry performance by identifying and quantifying the risks faced by the Indian pharmaceutical industry (IPI). The risk values for the prominent risks and overall industry are determined based on the four risk parameters, which would help determine the most contributive risks for mitigation.

Design/methodology/approach

An extensive literature survey was done to identify the risks, which were also validated by industry experts. The finalized risks were then evaluated using the fuzzy synthetic evaluation (FSE) method, which is the most suitable approach for the risk assessment with parameters having a set of different risk levels.

Findings

The three most contributive sub-risks are counterfeit drugs, demand fluctuations and loss of customers due to partners' poor service performance, while the main risks obtained are demand, financial and logistics. Also, the overall risk value indicates that the industry faces medium to high risk.

Practical implications

The study identifies the critical risks which need to be mitigated for an efficient industry. The industry is most vulnerable to the demand risk category. Therefore, the managers should minimize this risk by mitigating its sub-risks, like demand fluctuations, bullwhip effect, etc. Another critical sub-risk, the counterfeit risk, should be managed by adopting advanced technologies like blockchain, artificial intelligence, etc.

Originality/value

There is insufficient literature focusing on risk quantification. Therefore, this work addresses this gap and obtains the industry's most critical risks. It also discusses suitable mitigation strategies for better industry performance.

Details

International Journal of Productivity and Performance Management, vol. 73 no. 1
Type: Research Article
ISSN: 1741-0401

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Article
Publication date: 14 September 2023

Astha Sharma, Dinesh Kumar and Navneet Arora

The pharmaceutical industry faces multiple risks that adversely affect its performance. Within these risks, some dependencies have been observed, which help in streamlining the…

383

Abstract

Purpose

The pharmaceutical industry faces multiple risks that adversely affect its performance. Within these risks, some dependencies have been observed, which help in streamlining the mitigation efforts. Therefore, the present work identifies and categorizes various risks/sub-risks in cause–effect groups, considering uncertainty in the decision-making process.

Design/methodology/approach

An extensive literature review and experts' opinions were utilized to identify and finalize the risks faced by the pharmaceutical industry. For further analysis, data collection was done using a questionnaire focusing on finalized risks. Based on the data, the causal relation under uncertainty between various risks/sub-risks was identified using a multi-criteria decision making (MCDM) technique, i.e. intuitionistic fuzzy DEMATEL, in a pairwise manner.

Findings

The results show that the three most prominent risk categories are operational, demand/customer/market and financial. Also, out of the seven main risks, only supplier and operational are categorized within the effect group and the rest, i.e. financial, demand, logistics, political and technology within the cause group. The sub-risks within each category have also been categorized into cause–effect groups. The mitigation of cause group risks will help in economize the financial resources and improve the performance and resilience of the industry.

Originality/value

There is insufficient research on identifying the causality among the pharmaceutical industry risks. Additionally, an extensive discussion on the identified cause–effect groups is also missing in the literature. Therefore, in this work, efforts have been made to determine the prominent risks for the Indian pharmaceutical industry that will be helpful for channelizing the resources to mitigate risks for a resilient industry.

Details

Business Process Management Journal, vol. 29 no. 7
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 4 August 2022

Praveen Dhiman and Sangeeta Arora

Relying on social identity and social exchange perspectives, the present study aims to investigate the role of employee branding dimensions in stimulating employees’ brand…

969

Abstract

Purpose

Relying on social identity and social exchange perspectives, the present study aims to investigate the role of employee branding dimensions in stimulating employees’ brand citizenship behaviour (BCB) directly and indirectly through job satisfaction and affective brand commitment.

Design/methodology/approach

A field-survey method was used to target customer-contact employees of luxury chain hotels. Regression-based approach and bootstrap method (via PROCESS MACRO, Model 6) were applied to test the direct and indirect effects.

Findings

The results show that perceived external brand prestige has a strong direct effect on BCB. Through mediation analysis, this study observes that job satisfaction and affective brand commitment have significant mediation effects (i.e. individual, parallel and sequential) between employee branding dimensions and BCB. Analysing the results precisely, job satisfaction and affective brand commitment have the lowest sequential mediation effect and the greatest parallel mediation effect concerning the said relationships.

Originality/value

This study is novel in applying a three-path mediation model in the Indian hospitality context, considering a multi-dimensional perspective of employee branding to capture its diverse impact on BCB directly and indirectly through job satisfaction and affective brand commitment. Moreover, this study advances employee branding research by considering the under-investigated mediating (individual, parallel and sequential) role of job satisfaction and affective brand commitment.

Details

Journal of Product & Brand Management, vol. 32 no. 1
Type: Research Article
ISSN: 1061-0421

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Article
Publication date: 22 November 2024

Navneet Kaur, Shreelekha Pandey and Nidhi Kalra

The attraction of online shopping has raised the demand for customized image searches, mainly in the fashion industry. Daily updates in this industry increase the size of the…

11

Abstract

Purpose

The attraction of online shopping has raised the demand for customized image searches, mainly in the fashion industry. Daily updates in this industry increase the size of the clothing database at a rapid rate. Hence, it is crucial to design an efficient and fast image retrieval system owing to the short-listing of images depending upon various parameters such as color, pattern, material used, style, etc.

Design/methodology/approach

This manuscript introduces an improved algorithm for the retrieval of images. The inherited quality of images is first enhanced through intensity modification and morphological operations achieved with the help of a light adjustment algorithm, followed by the speeded up robust feature (SURF) extraction and convolutional neural networks (CNN).

Findings

The results are validated under three performance parameters (precision, recall and accuracy) on a DeepFashion dataset. The proposed approach helps to extract the most relevant images from a larger dataset based on scores conferred by multiple cloth features to meet the demands of real-world applications. The efficiency of the proposed work is deduced from its effectiveness in comparison to existing works, as measured by performance parameters including precision, recall and F1 score. Further, it is also evaluated against other recent techniques on the basis of performance metrics.

Originality/value

The presented work is particularly advantageous in the fashion industry for creating precise categorization and retrieving visually appealing photographs from a diverse library based on different designs, patterns and fashion trends. The proposed approach is quite better than the other existing ML/DL-based approaches for image retrieval and classification. This further reflects a significant improvement in customized image retrieval in the field of the fashion industry.

Details

International Journal of Clothing Science and Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 11 February 2022

Navneet Kaur and Lakhwinder Singh Kang

Based on the conservation of resource (COR) theory, this study investigates the association between the perception of organizational politics and organizational citizenship…

1777

Abstract

Purpose

Based on the conservation of resource (COR) theory, this study investigates the association between the perception of organizational politics and organizational citizenship behavior (OCB) while considering the mediating role of knowledge hiding and moderating role of political skill in this process.

Design/methodology/approach

Data were collected in a time-lagged survey in two waves with a three-week interval from frontline employees and their peers working in private sector banks in India. The hypothesized relationships were ascertained using the PROCESS macro for SPSS.

Findings

The results revealed a negative association between the perception of organizational politics and OCBs targeted at co-workers (OCBI), organization (OCBO) and customers (OCBC), both directly and indirectly, via knowledge hiding. Additionally, the negative indirect effect of the perception of organizational politics on OCB facets, via knowledge hiding, is buffered for individuals with high levels of political skill.

Originality/value

The current study portrays a more comprehensive understanding of the dynamics between the perception of organizational politics and OCB, with a particular emphasis on identifying the unidentified factors that may impact this liaison.

Details

Personnel Review, vol. 52 no. 3
Type: Research Article
ISSN: 0048-3486

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Article
Publication date: 6 February 2025

Navneet Gera and Ram Singh

This paper aims to explore the key drivers of a resilient supply chain for the Indian pharmaceutical industry for enhanced and sustainable export pursuits in a disruptive business…

6

Abstract

Purpose

This paper aims to explore the key drivers of a resilient supply chain for the Indian pharmaceutical industry for enhanced and sustainable export pursuits in a disruptive business time.

Design/methodology/approach

This study literarily identifies the key drivers of supply chain resilience in the Indian pharmaceutical industry and methodologically appraises, analyzes and assesses them to derive a structural model that catalytically acts as facilitators and drivers for enhanced export performance. By reviewing relevant literature, it identifies research and development (R&D), procurement and sourcing, manufacturing, distribution and reverse logistics factors. It collects Likert scale feedback from stakeholders and probes interrelationships among them in achieving the enhanced export performance of India’s pharmaceutical sector.

Findings

The results lucidly identify the key enablers affecting the export performance of India’s pharmaceutical sector. These primarily include developing excellence in manufacturing, reverse logistics and distribution. Furthermore, sourcing and R&D are the antecedents of manufacturing expertise, catalytically contributing to improved export outcomes. Based on the derived structural model, the interrelationships are evaluated to explore causal links in achieving supply chain resilience and simultaneously elucidating the managerial and socio-economic interventions.

Originality/value

Narrating the results, this paper scholarly identifies the key drivers that need to be factored in for enhanced export outcomes of India’s pharmaceutical sector. The paper explains how to achieve supply chain resilience for export performance in India’s pharmaceutical sector.

Details

International Journal of Pharmaceutical and Healthcare Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6123

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Article
Publication date: 9 January 2024

Navneet Gera, Walter Vesperi, Swati Rohatgi and Neetu Jain

Entrepreneurship represents a complex decision-making process capable of influencing the conditions of a socio-economic system. For this reason, stimulating entrepreneurship is a…

385

Abstract

Purpose

Entrepreneurship represents a complex decision-making process capable of influencing the conditions of a socio-economic system. For this reason, stimulating entrepreneurship is a topic that has always fascinated scholars and attracted the attention of public policy makers. This study, from the perspective of the theory of planned behaviour (TPB), aims to contribute to the analysis of entrepreneurial intention (EI) in university students. Factors such as entrepreneurship education (EE), mediation of personal attitude (PA), perceived behavioural control (PBC), EI, regulatory support (RS) and opportunity recognition (OR) for university students.

Design/methodology/approach

Research data was collected using a questionnaire, and a cross-sectional sample was selected from senior business and engineering students who are most likely to participate in entrepreneurial activities. The survey was conducted in the Delhi NCR region. 240 students were interviewed. Partial least square structural equation modelling using SmartPLS-4 was used to test the explanatory and predictive power of the proposed model.

Findings

The results of this study offer interesting contributions to the academic debate. First, EE has a significant impact on PA, PBC and entrepreneurial intentionality. Second, PBC, recognition of opportunities and EI have a significant impact on entrepreneurial education. Finally, PA and PBC significantly mediate the “entrepreneurial education – entrepreneurial intention” relationship.

Originality/value

Interesting elements of originality are offered by this study. First, entrepreneurship is studied as a decision-making process influenced by intentions and not behaviours. Second, the authors limited the efforts to unraveling the effect of the five variables on the formation of EI. Finally, the large size of the sample allows the authors to obtain significant results, directing future studies to other territorial contexts. Additionally, incorporating some control variables, such as gender and family background, would explore the relationship between the model variables more meaningfully.

Details

Management Decision, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0025-1747

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Article
Publication date: 6 November 2024

Astha Sanjeev Gupta and Jaydeep Mukherjee

Generative artificial intelligence (GAI) can disrupt how consumers search for information on retail products/services online by reducing information overload. However, the risk…

246

Abstract

Purpose

Generative artificial intelligence (GAI) can disrupt how consumers search for information on retail products/services online by reducing information overload. However, the risk associated with GAI is high, and its widespread adoption for product/service information search purposes is uncertain. This study examined psychological drivers that impact consumer adoption of GAI platforms for retail information search.

Design/methodology/approach

We conducted 31 in-depth, semi-structured interviews with the lead GAI users regarding product/service information search. The data were analysed using a grounded theory paradigm and thematic analysis.

Findings

Results show that consumers experience uncertainty about GAI’s functioning. Their trust in GAI impacts the adoption and usage of this technology for information search. GAI provides unique settings to investigate potential additional factors, leveraging UTAUT as a theoretical basis. This study identified three overarching themes – technology characteristics, technology readiness and information characteristics – as possible drivers of adoption.

Originality/value

Consumers seek exhaustive and reliable information for purchase decisions. Due to the abundance of online information, they experience information overload. GAI platforms reduce information overload by providing synthesized and customized product/service search results. However, its reliability, trustworthiness and accuracy have been questioned. The functioning of GAI is opaque; the popular technology adoption model such as UTAUT is general and is unlikely to explain in totality the adoption and usage of GAI. Hence, this research provides the adoption drivers for this unique technology context. It identifies the determinants/antecedents of relevant UTAUT variables and develops an integrated conceptual model explaining GAI adoption for retail information search.

Details

International Journal of Retail & Distribution Management, vol. 53 no. 2
Type: Research Article
ISSN: 0959-0552

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Article
Publication date: 9 January 2025

Astha Sanjeev Gupta and Jaydeep Mukherjee

E-retailers face challenges in adding, engaging and retaining customers. Voice interface is a new and more inclusive modality that provides customers with a hands-free, convenient…

31

Abstract

Purpose

E-retailers face challenges in adding, engaging and retaining customers. Voice interface is a new and more inclusive modality that provides customers with a hands-free, convenient e-shopping option and is relevant for e-retailers. However, the voice interface is significantly different from the text interface that consumers are accustomed to. This study investigates customer experiences with voice interface for search and selection of products on e-commerce platforms and its subsequent impact on customer engagement and enhanced usage.

Design/methodology/approach

We conducted 34 in-depth interviews with executive management students. For analysis and findings, we used a grounded theory paradigm and thematic analysis.

Findings

Based on in-depth probing and analysis consumers' experiences with voice interfaces in e-commerce platforms, we identified two enablers: customer satisfaction and awe-experience that positively impacted and two inhibitors: risk perceptions and inertia that negatively impacted customer engagement and enhanced usage of voice interface.

Originality/value

Voice interface is transforming the customer journey in the online shopping domain. How customers experience voice interfaces when searching and selecting products on e-commerce platforms impacts their engagement with the platform and their intentions to use voice modality to interact with the e-retailer in the future. The findings substantiate tenets of dual-process theory and found that enabling and inhibiting factors are independent and can coexist. The study identifies the most salient factors that positively and negatively affect customer engagement and enhanced usage of voice interfaces.

Details

International Journal of Retail & Distribution Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-0552

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Article
Publication date: 3 December 2021

Ammar Suhail

The purpose of this study was to explore patient’s perception of their disorder.

138

Abstract

Purpose

The purpose of this study was to explore patient’s perception of their disorder.

Design/methodology/approach

This study used a phenomenographical approach within a qualitative research paradigm. A total of 21 patients with knee osteoarthritis (OA) were recruited for the study, and data were collected through open-ended face-to-face interviews. The interviews were transcribed and thematically analyzed. The transcribed verbatim was analyzed for themes.

Findings

The themes developed reflected the patients’ perceptions about the disease process. Thematic analysis revealed three themes: Knee OA is a degenerative disease, Knee OA is an age-related disease and Knee OA is caused by certain activities of daily living. The patient’s information varied and was limited to what had been provided by the health-care practitioner. The knowledge was more biomedical in orientation and was limited and not supported by the evidence.

Research limitations/implications

There is a need to provide evidence-based information that the patient must understand. Health-care providers must use a biopsychosocial framework to discuss the disease knowledge with patients.

Practical implications

This study helps us in identifying disease perceptions that can be used to design education programs for knee OA patients. It also highlights the need for delivering educational programs to knee OA patients.

Originality/value

This study lays a foundation for further research. To the author’s best knowledge, this is the first study to explore disease perceptions using a qualitative approach conducted among patients from a lower middle-income country.

Details

Working with Older People, vol. 26 no. 2
Type: Research Article
ISSN: 1366-3666

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