Search results

The purpose of this study is to investigate the influence of credibility and information quality (IQ) of online food vloggers on consumer attitude and purchase intention towards street food consumption. It also examines the relationship between consumer attitude and purchase intention influenced by online food vlogger reviews in North India.

In order to evaluate the framework, primary data were gathered from 389 street food consumers located in Jammu, Chandigarh and Delhi – cities situated in northern India. The collected data were then subjected to analysis using the partial least squares-structural equation modeling (PLS-SEM) techniques.

The results indicate that the perceived value of street food, influenced by the credibility of food vloggers and the quality of information provided, has a positive impact on consumer attitude and purchase intention towards street food consumption. A positive impact of consumer attitude on the purchase and consumption of street food was also observed.

This research offers a thorough investigation into the elements that influence consumers' opinions regarding vloggers endorsements. The findings reveal that consumer's attitudes towards vloggers recommendations are mainly influenced by the quality of information provided, followed by credibility and the intention to make a purchase. Furthermore, this research is of significance to practitioners and academics interested in comprehending consumer behavior in the realms of tourism and food-related endeavors.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2024-0158

This study aims to investigate the influence of consumer value on women’s attitudes towards their intention to adopt menstrual cups. Drawing on consumer value theory, the research seeks to provide an empirical investigation of value-attitude-behaviour, an extant exploration of value concept in behaviour.

Data for this study was collected through survey questionnaires administered to 304 Indian women and analysed using partial least squares structural equation modelling.

The study’s finding indicate that emotional values (EVs) significantly predict women’s attitudes towards their intention to use menstrual cups. In addition, the desire for knowledge, price and quality considerations and awareness of the environmental impact were also found to influence women’s attitudes towards their behavioural intention to adopt menstrual cups.

This study contributes valuable empirical evidence supporting the importance of consumer values in shaping attitudes and behavioural intentions towards menstrual cups in a social marketing context. By understanding the role of EVs, social marketers can design more effective campaigns to encourage the adoption of menstrual cups. Promoting the sustainable aspects of menstrual cups, such as reduced environmental wastage, can further facilitate behaviour change among women.

This study demonstrates the value-attitude-behaviour framework, which has been a subject of very little research in the context of menstrual cup adoption in a developing country.

The purpose of this paper is to highlight various aspects of business-to-business brand equity (B2BBE) and explain relative impact of marketing/advertising, research and development (R&D), human resource and distribution network to build compelling business brands that display better firm performance.

A total of 51 in-depth semi-structured interviews with distributors and industrial buyers revealed different facets of B2BBE. Generalized method of moments (GMM) was applied on a large-scale panel data set of industrial firms to estimate the effects of firms’ R&D, advertising/marketing, distribution and staff training (proxy to sources of B2BBE) on sales.

First, varying levels of product application criticality and end-customer brand stature reflect four distinct organizational purchase requirements, namely, assured performance, prestige, brand leaders and commodity. Second, a taxonomy of five sources of B2BBE (prominence, solutions, accessibility, relationships and network strength) manifests buyers’ interactive experience during the purchase cycle. Third, it illustrates the positive short-term effect of all explanatory variables coupled with the positive long-term impact of R&D on sales.

Features like B2C brand image, clear and precise product information, credit/flexible payment terms, distributor image, add-on services to the core product and upstream–downstream referrals characterize strong brands. GMM model results help managers, in budget allocation.

The originality of this paper lies in proposing a comprehensive B2BBE framework based on triangulation; deployment of a common structure to simultaneously investigate distributors and industrial buyers, to discover whether their philosophies reinforce/undermine industrial branding strategies; and suggesting the use of GMM model to arrive at actionable insights.

The purpose of the study is applying and comparing models that predict optimal time for new product exit based on its demand pattern and survivability. This is to decide whether or not to continue investing in new product development (NPD).

The study investigates the optimal time for new product exit within the hi-tech sector by applying three models: the dynamic learning demand model (DLDM), the generalized Bass model (GBM) and the hazard model (HM). Further, for inter- and intra-model comparison, the authors conducted a simulation, considering Weiner and exponential price functions to enhance generalizability.

While higher price volatility signifies an unstable technology, greater investment into research and development (R&D) and marketing results in higher product adoption rates. Imitators have a more prominent role than innovators in determining the longevity of hi-tech products.

The study conducts a comparison of three different models considering time-varying parameters. There are four scenarios, considering variations in advertising intensity and content, word-of-mouth (WOM) effect, price volatility effect and sunk cost effect.

Many changes that call for concerted social action were observed in society and business performance during the coronavirus 2019 (COVID-19) outbreak. The impact of digitization and customer participation was evident in providing medical guidelines, updates on government initiatives, education or the supply of essential services during lockdown in many countries. However, there were aberrations. The purpose of this study is to explore some consumers and firms' being better equipped for service co-creation than others, specifically during a pandemic; the different degrees of service co-creation and the possible outcomes of customer participation in the service context.

Qualitative study with 35 in-depth interviews of supply- and demand-side actors, with coding and analysis of interview transcripts was conducted.

The authors identify two levels of service co-creation: (1) service co-development and (2) service co-evaluation that are affected by customer capabilities and firm/institutional barriers. The outcome of service co-creation lies in the social, economic and experiential values thus created. A pandemic strengthens the effect of antecedents (customer capabilities and firm capabilities) on the co-creation process.

Managers can refer to the findings to manage customer engagements and co-creations effectively, especially during a pandemic.

The impact of the pandemic on the service co-creation process in an emerging market, and the antecedents (firm- and customer-side) and consequences (mutual value outcomes) of service co-creation and actor participation are explored.

This paper aims to study the mediating role of perceived environmental responsibility on the relationship between environmental sensitivity and pro-environmental behavioural intentions.

The sample of the study was 256 respondents. The snowball sampling technique was applied to reach the maximum number of respondents. The data was collected with three standardized scales. It was conducted on the general mass in the northern region of India. The hypotheses were tested by applying partial least square structural equation modelling (PLS-SEM).

The study exhibits a significant positive effect of environmental sensitivity (ES) on environmental responsibility (ER) and environmental behavioural intentions (EBI). Environmental responsibility has a significant positive effect on environmental behavioural intentions. As expected, environmental responsibility partially mediates the relationship between environmental sensitivity and environmental behaviour intentions.

The study has tested the theory-driven hypotheses and confirmed the indirect effect of environmental sensitivity on environmental behavioural intentions. The sample of the study is mixed with various units such as students and professionals. The sample was not represented in any particular section of society. The responses of the respondents were measured at a five-point Likert scale. For better results, the seven-point Likert scale can be better. The study can be replicated in another region of India. Multi-group analysis can be a better scope of research in the future. The model can be compared based on demographic information, region, etc.

The government can rectify or make various policies on environmental protection based on the findings. The results can be useful for identifying training needs for the general mass. The study suggests that the government can organize various seminars on specific issues at the general platform. Overall, the study is also useful in policymaking and implementation regarding environmental protection.

As per the best of our knowledge, this is the first study exploring a causal link between environmental sensitivity, environmental responsibility and environmental protection conducted in India. The observed mediation effect of the ES on the EBI through ER adds new knowledge on the topic. As per the methodology point of view, the latest guidelines regarding PLS-SEM and mediation are followed, which can be useful for research in the future. Overall, the findings of the study exhibit an important contribution to the academic, methodology and general mass.

National Innovation Foundation (NIF) was a partner organization of the Honey Bee Network (HBN) which was a networked organization of individuals, innovators, farmers, scholars, academicians, policy makers, entrepreneurs and non-governmental organizations (NGOs). The HBN worked to create a network of grassroot innovators and acknowledged them by protecting their IPR. NIF was an autonomous body of the Department of Science and Technology (DST), Government of India, which provided institutional support to grassroot innovators, and facilitated the diffusion of traditional knowledge through various channels. NIF also handled filing patents and licensing of grassroot technology.

At the end of this case discussion, the students should be able to analyze the challenges of Strategic Talent Management in the expansion phase of a tech startup; analyze the strategic elements of “Recruiting ahead of the curve”; interpret the application of different employment nodes in creating a differentiated human resource architecture, particularly in the context of an ed-tech startup; recommend Talent Management interventions for Edtech startups.

The protagonist in the case Mr. Rohit Manglik started his EdTech startup EduGorilla in year 2020 in the state of Uttar Pradesh in India. His passion for transforming test preparation assistance for competitive examinations coupled with innovative AI and ML-driven testing portals has led to tremendous growth. He has received several rounds of funding, and the investor community is now expecting robust growth and returns. Manglik is now expanding in other states and has already started expanding in the Middle East to attain his ambitious growth targets. His current organization design, structure and talent management approach have worked so far, and he has managed to retain a productive workforce. To cater to its fast-growing client, base the company followed a novice hiring strategy where Manglik decided to overstaff his recruitment team to overcome the challenge of manpower deficit. He has been on a hiring spree primarily driven by anticipated projections. The operations team was hired primarily from the Tier II cities of Uttar Pradesh, which allowed him to balance cost and demand effectively. Manglik planned to expand into Tier-1 cities in India & Middle Eastern countries, but he wondered if his over-hiring approach to the recruitment team a tactic or a long-term strategy. The case will explore the talent management issues in the expansion phase of startups, particularly in the context of emerging markets. Will talent management and HR strategies have to be adapted in the context of different economies of emerging markets? The case explores the talent management strategies of an Edtech startup that is growing tremendously in an emerging market context. Hence, the case will augment the understanding of talent management approaches in a startup.

Postgraduate business management students enrolled in SHRM & Talent Management courses. Prior knowledge of the basic concepts of human resources is required for analyzing the case. The case can also be used in Management Development Programs for senior HR professionals and HR consultants.

Teaching notes are available for educators only.

CSS 6: Human Resource Management.

The purpose of this paper is to combine the critical parameters used to study financial inclusion into a composite index. The idea is to rank Indian states and union territories (UTs) on the basis of this index, determine change in ranks during 2011 to 2014 and identify factors affecting high/low scores on the index.

Data for the study were collected from secondary sources published by Reserve Bank of India (RBI) and Central Statistical Organization. Applying technique of order preference by similarity to ideal solution (TOPSIS), a composite multi-dimensional index of financial inclusion (IFI) has been built by using three broad parameters of penetration, availability and usage of banking services. Factors significantly influencing scores of states/UTs on IFI were identified using multiple regression analysis.

The value of financial inclusion for India on composite IFI has increased by 0.045 points during the study period. Share of agriculture to state gross domestic product, literacy ratio, population density, infrastructure development and farmer suicides are significant factors affecting financial inclusion.

The multi-dimensional IFI is a useful tool to measure financial inclusion using several parameters for various states/regions. The index can also be used to compare the performance of states/regions over same/different periods.

This paper is unique in its attempt to construct multi-dimensional IFI for Indian states/UTs by applying TOPSIS. It will prove useful for future researchers by combining several aspects of financial inclusion into single index.