Search results

This study aimed to visualize the trend topics in the research area of library and information science (LIS) in India during 1989–2021.

The data was extracted from the Web of Science core collection database (WoSCC) database from 1989 to 2021. For creating the network visualization maps from the data, freely available softwares, VOSviewer (VV) and Biblioshiny (a Web-interface for bibliometrix), were used.

Results support the prediction that in the future, Indian LIS research will focus on areas such as deep learning, machine learning, artificial intelligence and block chain technology. Among the most prolific authors Satija, M.P (Guru Nanak Dev University, Amritsar) and Prathap, G (APJ Abdul Kalam Technology University) secured top positions in LIS research. Scientometric ranked the top journal or the core journal after applying Bradford law.

The visualization of trend topics in LIS research from 1989 to 2021, 32 years of time span, is the first of its kind.

The paper aims to clarify the validity of the digital marketing model for software IT professionals. It proposes a model of buying behavior practices followed in digital era and outlining all six critical factors that were considered for developing this model. So the main objective of the study is to validate the success of digital marketing model through a survey-based results and case study analysis and synthesize the results for the success of digital marketing model for software development industry.

The paper opted for an exploratory study using the structured questionnaire. The data were collected using online platform. The present study covers the analysis of a survey of 406 IT professionals from software development industry to understand their buying behavior through digital marketing. Regression technique has been used to find the important predictors of the digital marketing model with its impact on the demographic variables.

The paper provides empirical insights about digital marketing model whose validity has been checked by synthesizing the results of both overall and case study. The results show that predictors elucidate Durbin–Watson in the acceptable range and are suitable for the model.

Data were collected during Covid period. So it was quite a challenging task and moreover sample size could not be increased due to this problem.

The paper includes implications for the development of digital marketing model for software IT professionals. Finally, this study will contribute to the further research for many prominent researchers who express their doubts about the state and future of digital marketing studies, characterized by contradictory and confusing empirical findings. A larger quantitative study on IT companies' digital marketing from different regions is recommended as a future line of research in order to encourage the unique globalized level model development.

Many organizations use digital marketing successfully since with the great amount of awareness generated about the digitalization among the customers has propelled for its development.

This paper fulfills an identified need to study how IT professional's digital buying marketing practices need to be studied.

Introduction: In today’s world of increasing competition, diminishing product differentiation, higher customer expectations, easy product replacements and lowering brand loyalty, organisations are evolving new marketing strategies for economic, societal and sustainability. Cause-related marketing (hereafter referred to as CRM), a strategic sustainable philanthropic practice, is the upcoming form of CSR. CRM plays an instrumental role in achieving self-brand connection and brand loyalty.

Purpose: To explore, integrate and interconnect concepts of CRM and self-brand connection to get more insights into the imperative role of CRM strategy in developing self-brand connections that can lead to brand loyalty in the most sustainable way. For this, CRM and self-brand connection, as proposed by societal marketing and branding literature, were explored. This chapter is a propositional inventory where the researcher has explored the antecedents of CRM strategy and its role in developing brand loyalty through self-brand connection.

Methodology: This chapter is centred upon the existing literature on sustainability, CRM and branding to understand better the relationships between dimensions and consequences of CRM and its interlinkage with brand loyalty.

Findings: The literature recommends that selected dimensions: Cause-brand fit, product type, altruistic motivation and brand credibility determine the effectiveness of CRM strategy. It also establishes the profound impact of attitude towards brand, brand perception and brand distinctiveness on self-brand connection. A theoretical framework based on the existing literature represents an amalgamated groundwork for developing effective, sustainable CRM strategies in conjunction with the self-brand connection. The proposed framework is distinct as no study conjoins the abovementioned concepts and aims to comprehend whether this integration is brand loyalty.

The objective of this study was to analyse the effects of major determinants on VCT adoption intention among higher educational leaders. Also, this study aims to investigate how perceived risk and perceived benefits influence the educational leaders, VCT actual use intention.

The authors used the online survey method to collect the 440 responses through purposive sampling procedure. Structural equation modelling (SEM) technique and Multi Group Analysis procedure were used to test the proposed model and moderating effects.

The findings revealed that all the four determinants (PE, EE, SI and FC) based on UTAUT model have positive and significant effects on intention to use VCT. Besides this there is a significant and positive effect of intention to use VCT on actual usage of VCT by the educational leaders. The moderating effect of perceived risk and perceived benefits on actual usage of virtual communication also found significant.

This paper makes its contribution to the literature related to virtual communication technology adoption by including two moderator variables (perceived risk and benefits) that are expected to affect educational leaders' actual usage of VCT. The results can also help researchers and practitioners better understanding the factors that influence higher educational leaders to adopt VCT.

This study proposed a model incorporating the perceived risk and perceived benefits in the UTAUT model to predict the actual use of VCT. The study endeavours to investigate the moderating effects of perceived risk and perceived benefits between ITUVCT and AUVCT in Indian educational context.

The case study is based on a social entrepreneurial journey where the authors have used an interview method to get the insights from the protagonists and the employees. Rigorous interviews were conducted online and in person for deep analysis of the protagonist’s strategies and decisive dilemma.

Secondary data was collected from company’s website for facts and figures.

This case study is a story of indigenous tribes of Odisha from the eyes of a woman who, with her co-founder, empathized with their vulnerable life and took on the challenge of creating sustainable livelihoods by establishing Millet Magic Foundation. The Millet Magic Foundation was established in 2021 by Shyama and her cofounder to uplift the indigenous tribe of Mayurbhanj by providing them livelihood through millet-based products. The foundation launched their millet-based snack products with the brand name WOWMOM. Millet Magic Foundation created social impact for the tribals by providing them with employment, fair wages, health care and social well-being. The specialty of the Millet Magic was reverse positioning and focusing on the bottom of the pyramid. The success of the Millet Magic Foundation relied on its mission to uplift the life of these indigenous tribal, especially the women, by overcoming the challenges with the strategies to establish Millet Magic as a social enterprise.

The case study is primarily suitable for postgraduate programme to teach the concept of social entrepreneurship in the entrepreneurship module. The case study can also be used for highlighting the role of social enterprise in sustainable economic development of emerging economies.

The purpose of the study is to explore the various determinants of virtual communication technology (VCT) adoption among higher educational leaders by applying Unified Theory of Acceptance and Use of Technology 3 (UTAUT3) model. Further, this study ascertains the relationship among the various determinants and measure the effects of these determinants in adoption of VCT by educational leaders.

The study was conducted by using online survey method for data collection from 380 educational leaders of India through a convenience sampling procedure. The structural equation modelling technique was adopted to assess the dimensions of VCT adoption and test the proposed model and hypotheses.

The findings revealed that performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC) and personal innovativeness (PI) have positive and significant effects on intention to use VCT (ITUVCT) and actual use of VCT (AUVCT), i.e. e-leadership communication adoption. Besides this, there is also a significant and positive effect of ITUVCT on actual usage of VCT by the educational leaders.

This study makes its contribution to the literature related to technology adoption recommended in previous research for expanding the contexts through new studies and generalizing the UTAUT3 model, specifically in the teaching–learning and administrative perspectives. The results of the study will be further helpful for the researchers and practitioners to better understand the factors that influence higher educational leaders to adopt VCT.

The authors applied the UTAUT3 model and explored the factors determining the adoption intention of VCT among educational leaders. This study is the first study that adopts UTAUT3 model in Indian educational leaders’ context.

This study aims to understand the expectations of elderly bank customers with mobile banking services and to measure its impact on their long-term satisfaction and continued intention. The study is based on two theories, expectations-confirmation theory (ECT) and hedonic adaptation theory.

A self-administered longitudinal survey was completed with a sample of 208 elder customers who do not use mobile banking services. Latent growth curve modelling approach was used to determine the change in their post-adoption experience over four time points.

Results of the study confirm that the use of mobile banking services prolongs the duration of customer satisfaction and continued intention level, post-adoption, reinforcing the hedonic adaptation theory.

Mobile banking services are going to be a significant component of the multichannel banking agenda. But it might be interesting to review other digital channels of banking services. The key contribution of this study is that it measures the expectation-confirmation link of elderly customers with mobile banking services. The study sheds light on factors that positively influence customer inclination and adoption of multichannel banking services in the long run, which is important for the commercial success of such channels.

The study highlights the importance of elder customers' pre-expectations, related dimensions which are important for post-adoption experiences of mobile banking services to improve customers' satisfaction and continued intention in the long run. This is crucial for the commercial success of banks.

This is the first such study that used the expectation confirmation model (ECT) and related it with hedonic adaptation theory to assess elderly customer's post-adoption satisfaction and continued usage of mobile banking services over time.

This comprehensive study aims to take a punctilious approach intended to present qualitative and quantitative knowledge on the emerging concept of noise trading and identify the emerging themes associated with noise trading.

This study combines bibliometric and content analysis to review 350 publications from top-ranked journals published from 1986 to 2020.

The bibliometric and content analysis identified three major themes: the impact of noise traders on the functioning of the stock market, traits of noise traders and different proxies used to measure the impact of noise trading.

This study undertakes research papers related to the field of finance, published in peer-reviewed journals and that too in the English language.

This study shall accommodate rational traders, portfolio consultants and other investors to gain deeper insights into the functioning of noise traders. This will further help them to formulate their trading/investment strategies accordingly.

The successful combination of the bibliometric and content analysis revealed major gaps in the literature and provided future research directions.

Along with technology-based ecosystems, healthcare start-ups are expanding multi-fold. On the other hand, underlying uncertainties pose several challenges for these health-tech enterprises at macro-meso-micro level, influencing their business circumstances and profitability. The current study aims to comprehend the macro-, meso- and micro-level barriers that make it difficult for enterprises to set up healthcare technology start-ups. The study also observed the perceived effect of these challenges on firms' performance and cost structure over time. Using the theory of behaviour under uncertainty, the study revealed multiple systemic, sector-related, human and implementation barriers that hinder business growth and lead to uncertainties for health-tech start-ups.

Using a grounded theory approach, the study collected the views of 51 health tech start-ups in the UK using an online participants pool. The data was collected using qualitative data techniques in the form of open-ended essays, and a content analysis using thematic coding process was conducted. The questions centered around the different institutional uncertainties or barriers while setting up or running a healthcare start-up.

The study revealed several macro-, meso- and micro-level barriers these technology-based enterprises perceive in the healthcare industry. These are recognised as systemic barriers, such as lack of funding and procedural issues; sector-related barriers, such as market-related impediments; human barriers, including psychological barriers and resistance to new technology; and implementation barriers, such as operational and personnel issues.

The study used qualitative, open-ended essay techniques to collect the data. Future studies may use a mixed-methods approach to provide holistic insights. The study is conducted in a single developed country, the UK. Future work may expand these findings by comparing developed market challenges with those of emerging markets and by assessing the viewpoints of healthcare start-ups.

This research will assist the healthcare sector and government understand health tech start-up hurdles and uncertainty. Policymakers must assist start-ups and encourage entrepreneurial innovation. Regulating and enabling policies will help. The paper examines start-ups' macro, meso and micro uncertainties. Policymakers promoting sector entrepreneurship must consider these barriers while designing policy guidelines.

The study contributes to the existing literature on technology start-ups, particularly in the healthcare industry, and identifies significant barriers these start-ups face. The study synthesizes research on health-tech start-up uncertainty and bridges the gap between theory and practice by applying empirical findings.