Search results

1 – 6 of 6

Abstract

Details

Journal of Indian Business Research, vol. 15 no. 1
Type: Research Article
ISSN: 1755-4195

Article
Publication date: 28 February 2023

Ansumalini Panda, Srinivas Subbarao Pasumarti and Suvarna Hiremath

The purpose of this paper is to identify the role of digitalization on the key characteristics of professional service firms (PSFs) that are part of the service sector and…

Abstract

Purpose

The purpose of this paper is to identify the role of digitalization on the key characteristics of professional service firms (PSFs) that are part of the service sector and inherently oriented with intense knowledge, capital and professionalized workforces.xD; xA.

Design/methodology/approach

This study adopted a qualitative, exploratory and inductive research methodology based on in-depth interviews with 49 entrepreneurs/professionals of PSFs focusing on the role of digitalization including capital intensity, knowledge intensity and professionalized workforce.

Findings

The result reflected that digitalization facilitates at lower levels of knowledge intensity, whereas it increases the capital intensity for most of the firms and decreases the professionalization of the workforce among PSFs.

Originality/value

The study provides empirical validations where digitalization has changed the distinctive characteristics of PSFs, which promotes new practices, allows for variation and transforms their competitive contexts. In light of these findings, the authors illuminated the application of digitalization on the Indian law firms, retail, education, healthcare and manufacturing industry.

Details

Journal of Service Theory and Practice, vol. 33 no. 2
Type: Research Article
ISSN: 2055-6225

Keywords

Article
Publication date: 5 October 2022

Suvarna Hiremath, Ansumalini Panda, Prashantha C. and Srinivas Subbarao Pasumarti

Food and grocery, which accounts for around 60% of the overall retail market in India, is the most promising area for launching a retail firm. The objective of this research paper…

Abstract

Purpose

Food and grocery, which accounts for around 60% of the overall retail market in India, is the most promising area for launching a retail firm. The objective of this research paper is to conduct a thorough investigation of the impact of customers’ geographic, demographic and psychographic characteristics on the selection of retail store format choice behavior in the quickly growing Indian food and grocery retail industry, also to analyze the mediating role of store image on the store choice behavior.

Design/methodology/approach

A descriptive research design is used to collect data using the survey method and a structured questionnaire. The data collected from more than 400 food and grocery retail customers from neighborhood Kirana stores, supermarkets and hypermarkets in Karnataka, India, would be analyzed using both descriptive (mean and standard deviation) and Structural equation modeling (SEM) techniques. SEM techniques are used for validation of the model with independent constructs namely Demographics factors, Socio-Economic factors, Geographic factors, Lifestyle and Shopping Motives, a Mediating variable Store Image, and a dependent variable Store choice behavior. Partial least squares structural equation modeling (PLS-SEM) is used to examine the suggested theoretical framework.

Findings

The model is tested to reveal the impact of shoppers’ age, gender, occupation, education, monthly household income, family size, and distance traveled to the store, which all play a role in their retail format choice. Also, the socio economic and life style factors of shoppers influence their purchasing decisions as well; store image partially mediates between customer characteristics and store choice behavior.

Implications

The study has practical implications for food and grocery retailer in understanding customer behavior in the context of changing customer demographic and psychographic features in the Indian retailing sector. The findings aid retail merchants, allowing them to develop more successful retail marketing strategies and gain a competitive advantage.

Originality

This study could serve as a springboard for future research in this field. Retail marketers will benefit from the findings in terms of format creation and reorientation of marketing strategies in the shortest time.

Details

Journal of Indian Business Research, vol. 15 no. 1
Type: Research Article
ISSN: 1755-4195

Keywords

Article
Publication date: 20 January 2022

Manoj Kumar, Pradeep Mamgain, Srinivas Subbarao Pasumarti and Pooja K. Singh

The purpose of the study is to explore the relationship among organisation information technology support (OITS), knowledge sharing behaviour (KSB) and service innovation…

1004

Abstract

Purpose

The purpose of the study is to explore the relationship among organisation information technology support (OITS), knowledge sharing behaviour (KSB) and service innovation performance (SIP) in the context of the Indian Hospitality Industry (IHI). This study also attempts to examine the role of KSB as a mediator in the relationship between IT support and SIP and the firm age test as a moderating variable for service innovation performance.

Design/methodology/approach

Proposed relations are empirically examined, and the study was carried out on 115 employees from 71 randomly selected hotels situated in the major five travel destinations of Uttarakhand state of India. Initially, confirmatory factor analysis was performed to validate the construct, afterword structural equation modeling (SEM)-Path analysis was accomplished. The researcher examines the mediation and moderation relations of the variables through statistical tests executed with the help of AMOS 24 and SPSS 26.

Findings

The study result indicated that organisation IT support has a positive influence on knowledge sharing and SIP. The mediation result findings showed KSB is partially mediated between OITS and SIP. Sequentially, firm age moderation found the statistical results shown significant difference in young and old hotels.

Research limitations/implications

This study only covers the aspect of the “knowledge sharing behaviour” dimension among the major organizations’ IT support capabilities and examined both variables that might be anticipated in SIP. Considering this limitation, new areas of research investigation are open to future researchers.

Practical implications

The study has both theoretical and managerial implications for academicians, practitioners and researchers. An attempt to conceptualise detailed insights on organisational IT support adaptation and KSB enhancement, which further leads to lifting SIP. Moreover, the study recommended for professionals to implement KM practices and mobilise the knowledge resources optimally to achieve better organizational outcomes.

Originality/value

The study attempts to delineate the proposed relationship and provides valuable insights for practitioners and academicians by including the knowledge sharing dimension to improve the SIP context of the IHI.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 54 no. 2
Type: Research Article
ISSN: 2059-5891

Keywords

Book part
Publication date: 10 February 2023

Ansumalini Panda, Srinivas Subbarao Pasumarti and Suvarna Hiremath

Need of the Study: Digitalisation, machine learning, and artificial intelligence (AI) is changing at a swift pace, significantly uplifting the role of information technology. The…

Abstract

Need of the Study: Digitalisation, machine learning, and artificial intelligence (AI) is changing at a swift pace, significantly uplifting the role of information technology. The present human resource (HR) aspect transpires AI-based resolution, are gradually more effective with HR process, time-consumption and a complex tasks surrounded by the HRM functionalities.

Purpose: This study attempts to investigate the adoption and diffusion of human resource management (HRM) with the phenomenon of AI-based applications. Hence, this study has emphasised the predictors of AI adoption like competitive pressure, performance expectancy, top management support, strategic partner, employee champion, etc. Moreover, how the AI predictors are connected with HR practices. The research sample focused on 207 HR managers and senior managers from various industries.

Methodology: This study is based on a quantitative research technique encompassing mean, standard deviation, exploratory factor analysis (EFA), Confirmatory Factor Analysis (CFA), Average Variance Extracted (AVE), and Dependent Variable (DV).

Findings: The study’s empirical findings show that higher performance expectations and higher management support are both major predictors of AI adoption. In contrast, competitive pressure did not show a significant relationship with such an intention, and the ‘employee champion’ role has a negative impact on AI adoption.

Implications: AI diffusion and implementation show a significant research gap. In previous studies, adoption in HRM was overlooked. The study’s results provide a comprehensive picture of the situation. The framework and a major contribution to the study of the phenomenon in relation to its possible role in AI’s effectiveness and quality in HRM. The research inspires a debate among service providers, policy-makers, and stakeholders, and builds an efficient workplace.

Details

The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B
Type: Book
ISBN: 978-1-80455-662-7

Keywords

Content available
Book part
Publication date: 10 February 2023

Abstract

Details

The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B
Type: Book
ISBN: 978-1-80455-662-7

1 – 6 of 6