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India ranks third in the global startup ecosystem in the world incubating more than 50,000 startups and witnessing 15% YoY growth per year. Being a center of innovation and skilled labor, Indian startups have attracted investments from all over the world. This paper aims at exploring the trends that are driving the growth in the Indian startup ecosystem.

Top 200 startups according to valuation are selected as a sample to find out the major trends in the Indian startup ecosystem. This paper includes surveying the sample startups about the implementation of trends such as big data, crowdfunding and shared economy in their startup and its tangible, as well as intangible impacts on their business. The result of the survey is analyzed to get an overview of the emerging trends in the Indian startup ecosystem.

Major ten emerging trends that drive growth in the Indian startup ecosystem are discovered and the areas where these trends can be leveraged are identified.

This research has contributed toward structuring and documenting the growth driving trends, and it will help the budding entrepreneurs to get familiar with the contemporary trends, pros and cons associated with it and the ways to leverage these trends to build a successful startup.

With the current pandemic situation, the world is shifting to online buying and therefore the purpose of this study is to understand how the industry can improve sales based on the product recommendations shown on their online platforms.

This paper has studied content-based filtering using decision trees algorithm and collaborative filtering using K-nearest neighbour algorithm and measured their impact on sales of product of different genres on e-commerce websites and if their recommendation causes a difference in sales.This paper has conducted a field experiment to analyse the customer frequency, change in sales caused by different algorithms and also tried analysing the change in buying preferences of customers in post-pandemic situation and how this paper can improve on the search results by incorporating them in the already used algorithms.

This study indicates that different algorithms cause differences in sales and score over each other depending upon the category of the product sold. It also suggests that post-Covid, the buying frequency and the preferences of consumers have changed significantly.

The study is limited to existing users of these sites, it also requires the sites to have a huge database of active users and products. Also, the preferences and likings of Indian subcontinent might not generally apply everywhere else.

This study enables better insight into consumer behaviour, thus enabling the data scientists to design better algorithms and help the companies improve their product sales.

Digital transformation is the way forward for all businesses. The technology is advancing at a rapid pace and the companies need to adapt to the change, not just to take advantage of the enormous opportunities it provides but even to stay relevant in this volatility, uncertainty, complexity, and ambiguity world. This study aims to define the concept of digital transformation and what it means in today’s business scenario. It helps to understand the different stages of digital maturity, identify the barriers in adopting different technologies and provide solutions to overcome those challenges.

This is a qualitative study in which opinions of the digital transformation experts were collected using a qualitative questionnaire. Natural language processing (NLP) and text mining techniques were applied along with a thorough analysis of the text to generate the results.

The study was able to uncover – what it means to be digitally transformed, different challenges an organization faces during the digital transformation journey and their potential solutions.

The existing literature on the topic is scattered and does not provide a roadmap for a company to adopt digital transformation. This study aims to fill up the gap and cover various aspects of the whole transformation process. The uniqueness of the study lies in the use of NLP techniques to perform text analytics on the data.

This paper seeks to focus on the TQM journey of MilkFed, a major milk‐producing cooperative in the state of Punjab in Northern India. It aims to demonstrate how TQM principles have been used to create an organisation‐wide environment of continuous improvement in a cooperative sector organisation that spread into tradition and ways of doing business in spite of facing numerous challenges.

MilkFed hired Punjab Technical University's School of TQM and Entrepreneurship (PGSTE) to create an organisation‐wide system of continuous improvement. PGSTE consultants prepared a road‐map for TQM implementation. In the first phase, 14 teams comprising 76 senior/middle level executives (one team from each of Milkfed's 14 plants/units) were trained in the structured application of TQM principles and the project‐by‐project improvement through a series of workshops. Each team implemented an improvement project, which was facilitated by the consultants.

MilkFed has saved USD 0.89 million per annum which amounted to more than 25 per cent of its net profit. There is a tremendous scope for multiplying the gains through horizontal deployment of learning across various plants and units. Intangible benefits included transformation in attitude of employees, creation of team culture, breakdown of departmental silos and tremendous improvement in labour‐management relations.

The paper demonstrates that the project‐by‐project approach used in conjunction with the basic 7 QC tools is an excellent approach for building a culture of continuous improvement. It has many important lessons for organisations, which are starting their quality improvement journey.

This study aims to examine the effect of dataveillance on resistance towards online payment. Using a moderated-mediation framework, the study also investigates the mediating effects of perceived privacy and security concerns and how these mediating effects are moderated by corporate credibility, consumer scepticism and consumer empowerment.

A scenario-based experimental design was performed to examine the proposed hypotheses. Analysis of covariance and PROCESS macro were used to examine the hypotheses by analysing 312 collected responses.

The results indicated the dataveillance positively affects consumer resistance towards online payment. The results also suggested that corporate credibility and consumer scepticism significantly moderates the association between dataveillance and resistance towards online payment.

The findings of this study will help online retailers to reduce consumers’ perceived privacy and security concerns, thereby reducing consumers’ resistance towards online payment.

Theoretically, the study contributes to privacy, consumer behaviour, online payment and cognitive-motivational-relational theory literature.

The purpose of this paper is to examine the mediating roles of two variables of psychological empowerment and affective commitment of frontline service employees (FSEs) in the relationship between transformational leadership (TFL) and proactive customer service behavior (PCSB) of FSEs.

In a rigorous research design, the authors obtained data from 225 FSE-supervisor dyads working in a large Indian IT services organization. Analysis was done using structural equation modeling approach in LISREL 8.72.

As expected, affective commitment and psychological empowerment of FSEs fully mediated the positive relationship between TFL and PCSB of FSEs, even after controlling for age and tenure. The specified model explained 24 percent of the variance in PCSB of FSEs.

As FSEs act as the face of a service organization, therefore their proactive behavior plays an important role in customer satisfaction. Enactment of TFL by supervisors fosters PCSB of FSEs. Therefore, organizations must develop TFL skills in their managers to psychologically empower FSEs and get them committed to a superior service delivery through PCSB.

The study is one amongst the few studies to explore the relationship between TFL and proactive behavior in the customer service domain. Additionally, to the best of the authors’ knowledge, this is the first study to examine the explanatory mechanisms through which transformational leaders foster PCSB of FSEs.

The purpose of this paper is to design and develop an IR and sprinkler based embedded controller operated robotic arm for automatic dust removal system to mitigate the dust effect on the solar panel surface, since dust accumulation normally affected by real weather conditions is one of the serious concern for the deterioration of photovoltaic (PV) system output.

The system is a wet cleaning device which provides a cheap silicon rubber-based wiping operation controlled by the pulse width modulation-operated motors of robotic arm. The IEEE 1149.1-compliant mixed signal-embedded platform of C8051F226DK is involved to command the complete system.

A prototype of 30 W_P system is capable of producing an inspiring average value of 11.26 per cent in energy increase, 13.63 per cent in PV module efficiency and 85.20 per cent in performance ratio of the system after 73 days of cleaning in summer season. In addition, a total of 1,617.93 W power; 1,0516.55 Wh energy; and 350.55 KWh/KW_P final yield was found during the entire cleaning period.

A novel technique of the implementation of IR sensor and sprinkler in dust mitigation is proposed in this paper. The IR sensor is used as a versatile object which can manage the robotic arm setting and control the automatic switching between cleaning and charging, as well as identify the thermal condition of solar panel for overheating.

With increased globalization, Indian universities are struggling to attract and retain talented academics and are exploring the ways to enhance their service performance and brand image (BI). However, there is a paucity of studies that view universities through the corporate lens. Therefore, the purpose of this paper is to examine the mediating role of innovativeness in the relationships of creativity, risk taking (RT), and performance in service delivery (PSD). Another objective is to find out how this nexus affects universities’ BI.

Responses were collected from 280 academics working for different Indian universities. Structural analysis was performed to examine the relationships under investigation.

The results indicate that innovativeness fully mediates the positive RT – PSD relationship and that PSD positively influences BI.

The findings of this study mainly augment the theory of BI by empirically linking BI and its antecedents in the context of Indian universities.

For enhancing a university’s BI, management is encouraged to promote RT work culture along with innovative and creative teaching methods.

This study is one of the few studies in India that see academia through the corporate lens. Also, it provides evidence for the importance innovativeness in enhancing BI of a university.

Intrapreneurship is gaining traction in organizations to buckle up for the dynamic business environment. Scholars have argued that intrapreneurship increases positivity at work and helps employees attach themselves better with their job. However, empirical evidence suggests that these relationships do not exist. The objective of this paper is to examine the mediating role of psychological capital (PsyCap) in the relationship between intrapreneurship and work engagement.

Data were collected through an online survey. Responses from 309 employees working in different industries in India were analysed. Structural equation modelling (SEM) was used to analyse the hypothesized relationships.

The results show that there exist positive relationships among intrapreneurship, psychological capital (PsyCap) and work engagement. Further, it was observed that the PsyCap partially mediates the relationship between intrapreneurship and work engagement.

Managers may not only encourage intrapreneurial behaviour in their organizations but also ensure that the employees are psychologically capable (high on PsyCap). It would enable the employees to engage themselves wholeheartedly into their work.

To the best of the authors' knowledge, this study is one of its kinds to relate intrapreneurship with PsyCap and work engagement.

Immunization is one of the most cost-effective ways to save lives while promoting good health and happiness. The coronavirus disease 2019 (COVID-19) pandemic has served as a stark reminder of vaccines' ability to prevent transmission, save lives, and have a healthier, safer and more prosperous future. This research investigates the sustainable development (SD) of the COVID-19 vaccine supply chain (VSC).

This study investigates the relationship between internal process, organizational growth, and its three pillars of SD environmental sustainability, economic sustainability and social sustainability. Survey-based research is carried out in the hospitals providing COVID-19 vaccines. Nine hypotheses are proposed for the study, and all the hypotheses got accepted. The survey was sent to 428 respondents and received 291 responses from health professionals with a response rate of 68%. For the study, the healthcare professionals working in both private and public hospitals across India were selected.

The structural equation modelling (SEM) approach is used to test the hypothesis. All nine hypotheses are supported. This study examines a link between internal processes and organizational learning and the three sustainability pillars (environmental sustainability, economic sustainability and social sustainability).

This study will help the management and the policymakers to think and adopt SD in the COVID-19 VSC. This paper also implies that robust immunization systems will be required in the future to ensure that people worldwide are protected from COVID-19 and other diseases.

This paper shows the relationship between organizational learning and internal process with environmental sustainability, economic sustainability and social sustainability for the COVID-19. Studies on VSC of COVID-19 are not evident in any previous literature.