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The study aims to investigate the consumers' behavioral intention toward green hotels. The tendency of individuals to afford green hotels is further escalating with progressing coronavirus disease-2019 (COVID-19) pandemic recurring waves. The increased worry of consumers toward health, hygiene and the climate is acquiring momentum and transforming how consumers traditionally perceive green hotels.

The study has recommended an integrated framework incorporating various research fields as attitude-behavior-context theory, theory of planned behavior (TPB) and moderating influences to study the associations among the antecedents of consumers' behavioral intention toward green hotels. The study comprised the participation of 536 respondents residing in the Delhi and National Capital Region (NCR) of India. The data analysis strategy involved the use of structural equation modeling (SEM) analysis to test the proposed research framework.

The results and findings of the study indicated a significant influence of fear and uncertainty of the COVID-19 pandemic and environmental concern on green trust. The results also revealed the considerable impact of green trust on willingness to pay premium, attitude and subjective norms, which significantly influenced behavioral intention. The analysis also revealed the moderating influence of environmental concern in the relationship of green trust and behavioral intention.

The study has recommended significant theoretical. The theorists may use this research framework to analyze better the transforming consumer behavior trends toward green hotels in the ongoing fearful and uncertain COVID-19 pandemic scenario.

The study has recommended significant managerial implications. The industry practitioners may also utilize the framework to sustain the hotel business and bring new strategic insights into practice to combat the impact of the pandemic and simultaneously win consumers' trust in green hotels.

Although the researchers have previously emphasized consumers' intention toward green practices embraced by hotels, the impact of the COVID-19 pandemic on the green hotel industry gained noticeable attention from researchers. Furthermore, there is a scarcity of literature providing insights on the behavioral dynamism of hotel customers' trust, attitude and willingness to pay for green hotels during the repetitive waves of the COVID-19 pandemic. The study will support the existing literature gap by enlightening the associations among the various antecedents of green hotels' behavioral intention, COVID-19 and environmental concern.

The purpose of this study is to explore the principal research query and whether strategic foresight deployed by entrepreneurial firms in energy transition aims at crafting future readiness.

With a focus on entrepreneurial firms working in the alternative energy segment in the Indian context, the intent is to examine the deployment of strategic foresight by incumbent firms and their entrepreneurial journey. The authors have adopted the approach of Eisenhardt for this research. The area of interest for the authors entailing strategic foresight by entrepreneurial firms in energy transition aligns with defining features reflecting the aim of Eisenhardt method for this exploratory research coupled with constructivism.

While the future scenarios in the energy sector have to be necessarily multiple, their alignment with different geographic, economic, demographic and political outlooks shall be defined by the pathways niched through the deployment of strategic foresight for arriving at those scenarios.

Strategic foresight deployed by entrepreneurial firms has the potential to create future readiness through self-reliant sustainable economic value chains for local populace, thus propagating holistic development in remote regions.

This paper attempts to knit together the domains of strategic foresight, entrepreneurial firms and energy transition through case research and present the future thinking deployed for navigation in uncharted pathways by capturing the foresight component of these incumbent firms chosen through careful case selection. The narrative has been strengthened by the varied interviews across participants and the observations made by the authors during the research work.

This paper aims to incorporate a hybridized advanced sine-cosine algorithm (ASCA) and advanced ant colony optimization (AACO) technique for optimal path search with control over multiple mobile robots in static and dynamic unknown environments.

The controller for ASCA and AACO is designed and implemented through MATLAB simulation coupled with real-time experiments in various environments. Whenever the sensors detect obstacles, ASCA is applied to find their global best positions within the sensing range, following which AACO is activated to choose the next stand-point. This is how the robot travels to the specified target point.

Navigational analysis is carried out by implementing the technique developed here using single and multiple mobile robots. Its efficiency is authenticated through the comparison between simulation and experimental results. Further, the proposed technique is found to be more efficient when compared with existing methodologies. Significant improvements of about 10.21 per cent in path length are achieved along with better control over these.

Systematic presentation of the proposed technique attracts a wide readership among researchers where AI technique is the application criteria.

The purpose of this paper is to describe the volume and quality of information and communication channel use at various stages of the malt barley value chain (MBVC) in Ethiopia and to investigate how metrics of these variables influence the extent of integration of the chain.

The study is based on survey data collected from 320 farmers and 100 traders and interview responses compiled from 76 respondents. Descriptive statistics and ordered logistic regression were used for data analysis.

The descriptive statistics show a lower volume and poor quality of information is being shared at farmer-trader interface and that value chain integration (VCI) is weak at all studied interfaces. Results of ordered logistic regression show that information volume and quality positively influence VCI, whereas a positive relationship between channel use and VCI was found only at farm level interfaces. Evidences found suggested that inconsistent information systems, lack of information sharing plans, low level of members’ awareness about the value of information, and lack of trust to share information were factors that inhibited information sharing in the MBVC.

The study offers pioneering evidence of the relative role of information volume and quality and channel use as factors that influence the extent of integration of the value chain.

The purpose of this study was to ascertain organizational factors that impacted the performance of social enterprises.

For this research study, a structured close-ended survey questionnaire was prepared based upon literature inputs. The data was collected from 370 executives in social enterprises in India. The data was analysed through structural equation modelling.  The data was analysed towards hypothesis development as well as model development explicating the success of social enterprises.

This research study’s findings developed a model towards explicating firm level performance in social enterprises. The antecedent factors were organizational commitment (OC), organizational orientation (OO), employee empowerment (EE) and top management support (TMS). The factor business innovation capability (BIC) was the mediating variable, whereas the firm performance (FP) of social enterprises was the dependent variable. Business innovation creativity had full mediation effect.

In this research study, the variable influencing the performance of social enterprises were ascertained. TMS and EE were independent organizational variables in any social enterprise along with the two organizational factors of OC as well as OO that did matter for enhancement of BIC of social enterprises. BIC had full mediating effect based upon the mentioned factors of OC, organization orientation, EE and TMS, which subsequently manifested in superior social enterprises FP.

Social enterprises had to balance the twin objectives of social good (doing good for society) as well as earning economic benefits for the enterprise.  Given this challenge, social enterprises had to develop an organizational context in which employees were empowered towards undertaking social issues proactively. Furthermore, top management team must provide support for such causes. When this aspect coupled with the presence of OC and OO then in the social enterprise, BIC got developed.  With the presence of BICs, it became easier for social enterprises to undertake innovation that were also socially oriented and led to superior FP.

It has often been observed in developing countries like India that social innovation and entrepreneurial ventures associated with these have become a necessity. However, such ventures often do not to scale up. Hence, its case for business continuance and sustenance have been challenging. This study provided insights regarding the existential aspect of social enterprises in terms of its performance.

This study was one of the first research studies that integrated the factors of OC, OO, EE and TMS in building organizational capability towards innovation in social enterprises. This in turn contributed towards the improvement of FP of social enterprises.

The purpose of this paper examines the relationship between dimensions of workplace spirituality (meaningful work, sense of community and alignment with organizational values) and employee loyalty (intention to stay, benefit insensitivity toward alternate employers and word of mouth about the organization), in the context of millennials who are three times more likely to change jobs, than other generations.

This descriptive study was conducted among a sample of 308 employees, working in private sector organizations in India. Self-reporting questionnaires were administered among the respondents, who were selected through a purposive sampling method and structural equation modeling was done to test the hypotheses.

The three dimensions of workplace spirituality had varying influences on the outcomes variables. Alignment with organizational values was positively related to all dimensions of employee loyalty, whereas the sense of community had a positive association with intention to stay and benefit insensitivity while meaningful work indicated positive influence only on benefit insensitivity. The findings, in general, suggest that employees’ experience of workplace spirituality has significant positive influence on their loyalty toward the organization.

This study is pioneering in conceptualizing and testing a theoretical model linking workplace spirituality and employee loyalty, particularly in the context of millennials, who form 50 per cent of the workforce and reportedly exhibit higher turnover intentions. The study gains relevance in the context of reports about monetary/non-monetary preferences among millennial employees and that the generation is not too keen in working with teams, but would rather prefer working in an organization, which provides space for self-actualization in individual growth. Implications for their experience of workplace spirituality and outcomes are elaborated, thus striving to fill a gap in the existing literature.

Husk Power Systems, a young but widely celebrated firm based in India, needs $1.5 million to $2.5 million of expansion capital to grow quickly beyond the small footprint it had established in northeast India. It was a successful green-energy enterprise that aimed to provide electricity to millions of rural Indians in a financially viable way. With 10 “mini power plants” that used rice husks as a fuel source and a presence in 25 isolated Indian villages as of April 2009, the company's goal was to reach 350,000 to 400,000 consumers in 400 villages by the end of 2011. It was offered a convertible-note financing structure by a cleantech private equity firm and needed to assess whether it suited the company's and founders' interests.

This case was designed for and is used in Darden's Entrepreneurial Finance and Private Equity elective. With less of a focus on the financials, the Husk case has also been used in other Darden courses such as Social Entrepreneurship and Global Economies and Markets in a module focusing on emerging markets.

The purpose of this paper is to assess the agricultural practices in a drought-prone region of India in an effort to find out how science, technology and innovation (STI) measures can address the existing problems and help achieve sustainable solutions. This study has been planned with two specific objectives: to study the agricultural practices of small and marginal-holding farmers in a drought-prone region and to examine the opportunities for suitable interventions to mitigate the impacts of droughts. The study is based on primary survey conducted in Banda district of Bundelkhand region, Uttar Pradesh, India.

Empirical survey was done in eight different blocks of a drought-prone region of India using structured questionnaire. The questionnaire was pre-tested with a group of 12 farmers during a workshop through a pilot survey conducted during April 2017. Stratified sampling based on land holdings (small farmers having 1–2 ha of land, medium farmers having 2.1–5 ha of land and large farmers having more than 5 ha of land) and irrigation types (canals and tube wells) were utilised in different blocks of the district for selecting farmers in the surveyed villages.

Findings suggest that due to various reasons like change in climatic conditions, frequent crop failure, crop diseases and high cost of production, farmers have adopted certain crops which are not suited to their agro-climatic conditions. The paper recommends that farmer’s school or “on-farm training school” have to be initiated to integrate farmers’ traditional knowledge with modern knowledge systems with amalgamation of STI tools.

Uttar Pradesh is divided into nine agro-climatic zones; however, this study is focused on Bundelkhand and may be region specific, though the findings are important for other drought-prone areas.

The paper links the existing agricultural practices and further linking them with farmers’ socio-economic, cultural and environmental settings. Only 17.5 per cent of respondents owned any agricultural equipment due to high cost of farm tools, difficulty in taking equipements on rental basis and lack of sharing tools among the farmers.

This paper targets small and marginal farmers in the drought-prone region of India who face the dual shock of climate impacts and poverty. Adoption of modern agricultural practices and use of technology is inadequate which is further hampered by ignorance of such practices, high costs and impracticality in the case of small land holdings.

This paper has advocated for well-organised, efficient and result-oriented STI system to mitigate the adverse impacts of drought-prone agriculture. Farming community in drough-prone areas needs adequate investment, local-specific technology, better quality inputs, real-time information on weather and most importantly latest know-how for sustaining commercial and cost effective sustainable agriculture.

The purpose of this paper is to examine the effect of non-linear thermal radiation, Joule heating and viscous dissipation on the mixed convection boundary layer flow of MHD nanofluid flow over a thin moving needle.

The equations directing the flow are reduced into ODEs by implementing similarity transformation. The Runge–Kutta–Fehlberg method with a shooting technique was implemented.

Numerical outcomes for the coefficient of skin friction and the rate of heat transfer are tabulated and discussed. Also, the boundary layer thicknesses for flow and temperature fields are addressed with the aid of graphs.

Till now, no numerical study investigated the combined influence of Joule heating, non-linear thermal radiation and viscous dissipation on the mixed convective MHD flow of silver-water nanofluid flow past a thin moving needle. The numerical results for existing work are new and their novelty verified by comparing them with the work published earlier.

Smooth and autonomous navigation of mobile robot in a cluttered environment is the main purpose of proposed technique. That includes localization and path planning of mobile robot. These are important aspects of the mobile robot during autonomous navigation in any workspace. Navigation of mobile robots includes reaching the target from the start point by avoiding obstacles in a static or dynamic environment. Several techniques have already been proposed by the researchers concerning navigational problems of the mobile robot still no one confirms the navigating path is optimal.

Therefore, the modified grey wolf optimization (GWO) controller is designed for autonomous navigation, which is one of the intelligent techniques for autonomous navigation of wheeled mobile robot (WMR). GWO is a nature-inspired algorithm, which mainly mimics the social hierarchy and hunting behavior of wolf in nature. It is modified to define the optimal positions and better control over the robot. The motion from the source to target in the highly cluttered environment by negotiating obstacles. The controller is authenticated by the approach of V-REP simulation software platform coupled with real-time experiment in the laboratory by using Khepera-III robot.

During experiments, it is observed that the proposed technique is much efficient in motion control and path planning as the robot reaches its target position without any collision during its movement. Further the simulation through V-REP and real-time experimental results are recorded and compared against each corresponding results, and it can be seen that the results have good agreement as the deviation in the results is approximately 5% which is an acceptable range of deviation in motion planning. Both the results such as path length and time taken to reach the target is recorded and shown in respective tables.

After literature survey, it may be said that most of the approach is implemented on either mathematical convergence or in mobile robot, but real-time experimental authentication is not obtained. With a lack of clear evidence regarding use of MGWO (modified grey wolf optimization) controller for navigation of mobile robots in both the environment, such as in simulation platform and real-time experimental platforms, this work would serve as a guiding link for use of similar approaches in other forms of robots.