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This paper aims to analyze the economic viability of jatropha plantation in North East India.

Economic viability is measured through the net present value and the benefit–cost ratio (BCR) at four different production standards along with four different prices of jatropha seed.

At a very low price and small production, jatropha plantation is economically not feasible. However, when the price of seed increases from INR 5 to 8, BCRs become greater than 1, provided that the discount rate is less than equal to 8 per cent. The minimum threshold of BCR indicates that the threshold of 1.5 BCR at a production level of 1.5 tons/ha can be achieved with a combination of seed price of INR 10 per kg and a discount rate of 1 to 3 per cent. Thus, jatropha cultivation is economically viable but not highly profitable.

Present study analyzes the economic viability of jatropha plantation from purely financial point of view. Social cost and benefit of energy crop plantation is not included in the study. This suggests to adopt social cost–benefit analysis to evaluate the overall feasibility of plantation crops in future studies.

This paper contributes to the academic literature of economic viability of energy plantation crops. Economic viability of jatropha plantation is shown in different cost and revenue conditions with statistical evidences.

Sensing technology has been extensively researched and used due to its applications in industrial production and daily life. Due to inherent limitations of conventional silicon-based technology, researchers are now-a-days paying more attention to flexible electronics to design low-cost, high-sensitivity devices. This observational and analytical study aims to emphasis on carbon monoxide gas sensor. This review also focuses the challenges faced by flexible devices, offers the most recent research on paper-based gas sensors and pays special focus on various sensing materials and fabrication techniques.

To get the better insight into opportunities for future improvement, a number of research papers based on sensors were studied and realized the need to design carbon monoxide gas sensor. A number of parameters were then gone through to decide the flexibility parameter to be considered for design purposes. This review also focuses on the challenges faced by flexible devices and how they can be overcome.

It has been shown that carbon monoxide gas, being most contaminated gas, needs to be fabricated to sense low concentration at room temperature, considering flexibility as an important parameter. Regarding this parameter, some tests must be done to test whether the structure sustains or degrades after bending. The parameters required to perform bending are also described.

Due to inherent limitations of conventional silicon-based technology, now-a-days attention is paid towards flexible electronics to design low-cost, high-sensitivity devices. A number of research articles are provided in the literature concerning gas sensing for different applications using several sensing principles. This study aims to provide a comprehensive overview of recent developments in carbon monoxide gas sensors along with the design possibilities for flexible paper-based gas sensors. All the aspects have been taken into consideration for the fabrication, starting with paper characterization techniques, various sensing materials, manufacturing methodologies, challenges in the fabrication of flexible devices and effects of bending and humidity on the sensing performance.

Major cereal staples such as wheat, white rice and corn have a significant negative impact on the environment, a low nutritional profile and are associated with obesity. In comparison, alternative staples (such as rye, quinoa, buckwheat, etc.) are more environmentally sustainable and nutritious, yet are underused. There has been a recent surge in research into and awareness of alternative staples, but the current understanding of the different drivers of and barriers to their consumption remains fragmented.

The present study attempts to assimilate and incorporate the current knowledge on the drivers of and barriers to the consumption of alternative staples. Eighty-one empirical studies were curated and analysed according to stringent protocols in order to examine the existing research profile and themes arising from prior research in this domain.

The study presents a profile of the extensive existing literature examining the drivers of and barriers to the consumption of alternative staples. The thematic analysis of selected studies resulted in the identification of six drivers and seven barriers. The drivers are an awareness of health; awareness of environmental factors; recommendations; awareness of the brand, labels and source of origin; household structure and demographic attributes. The barriers are difficulty in preparation, lack of familiarity, lack of availability, lack of affordability, culture, product attributes and sensory attributes. The various research gaps and avenues for future research associated with the drivers and barriers identified are also presented.

The key outcomes of the study are the presentation of the research profile, the identification of various drivers and barriers, the recognition of gaps in the research and avenues for future research and, finally, the development of a theoretical framework entitled “Behavioral reasoning towards the consumption of alternative staples (BRCAS)”. The study offers various insights for nutritionists, marketers, policymakers and consumers by increasing awareness of alternative staples.

This case study aims to analyse the different factors that cause a decline in an organisation's performance. It projects data for the prospective case readers to explore the possible approaches for the Chairman-cum-Managing Director (CMD) of Mahanagar Telephone Nigam Limited (MTNL) and Bharat Sanchar Nigam Limited (BSNL) to turnaround both the organisations. Furthermore, the case compels the readers to study the Indian Telecom industry to analyse the competitive behaviour and the consequent actions necessary to survive and thrive amongst their peers. From the theoretical perspective, the case emphasises the recent change observed in the Telecom industry regarding the transition from value-chain to value-network.

The authors collected the case facts and data for the case study from secondary sources like the latest news articles, the CRISIL database, company annual statements, company press releases and government regulatory body web portals.

The case study has identified the issues pertinent in the public sector companies in India, especially in the telecom sector, concerning leadership, pending government financial commitments and a slow-moving attitude towards taking action.

The case study highlights the management problems faced by the CMD of the two public sector telecom companies i.e. BSNL and MTNL.

This paper aims to identify various macroeconomic variables that affect the stock market performance of developed and emerging economies. It also investigates the effect of these factors on the stock markets of both economies. The impact of these variables on broad market indices and sectoral indices is investigated and compared too.

The publications for the study were retrieved from databases such as Emerald Insight, EBSCO, ScienceDirect and JSTOR using the keywords “Macroeconomic variables” and “Stock market” or “Stock market performance.” The result demonstrated a growing corpus of scholarly work in the domain of stock market. The study was carried out separately for each macroeconomic indicator. Given a large number of articles under consideration, the authors began by reading the titles and abstracts of all publications to identify those that were relevant. The papers are evaluated in Excel and the articles for review range from 1972 to 2021.

The authors found that gross domestic product (GDP), FDI (Foreign Direct Investment) and FII (Foreign Institutional Investment) have a positive effect on both emerging and developed economies’ stock market while gold price has a negative effect. Interest rates had a negative impact on both economies except for a few developing countries. The relationship with oil prices was positive for oil exporting countries while negative for oil importing countries. Inflation, money supply and GDP are the macroeconomic variables that have the same effect on sectoral indices as they do on broad market indices. The impact was sector-specific for the remaining variables.

This paper gives an overview of relation and effect covering variety of macroeconomic variables and stock market indices. Still, there is a scope for further research to analyze the effect on thematic, strategy and sectoral indices. A longer time horizon with new variables, such as bank deposit growth rate, nonperforming assets of banks, consumer confidence index and investor sentiment, can be studied using high-frequency data. This research may help stakeholders adopt and manage their policies during a crisis or economic slump.

This study will assist investors, researchers and educators in the fields of economics and finance in understanding how macroeconomic factors affect the stock market. Furthermore, this study can guide in portfolio diversification strategy across multiple sectors by examining the impact of macroeconomic factors specific to sectoral indices. This paper provides insight into society and researchers since it integrates a number of macroeconomic variables and their interaction with the stock market. It may also help pension funds and mutual fund firms to hedge their funds and allocate equity portfolios.

With respect to India, this study looked at new macroeconomic variables and sectors. It contrasted the impact of these variables in developed and developing economies. The effect of broad and sectoral stock indexes was also investigated and compared. The authors examined how these variables responded during crisis and economic downturns by using articles from a longer time frame. This research also looked into how changing the frequency of data for the variables altered stock performance. This paper emphasized the need for more research into thematic, strategy and broad market indices, such as small-cap and mid-cap indices.

This paper aims to examine the components or factors influencing tourists’ destination brand selection behaviour in Indian context with evidence-based management modelling by using the Relative to an Identified Distribution (RIDIT) approach. This evidence-based tourism marketing research has contributed to enhance understanding the tourists’ motivation to support decision in tourism marketing domain. The present study has focused on identifying the most relevant factors in the order of priority that influence destination brand-choice behaviour pertaining to Indian tourism sector. The current research has also tried to arrange the different items relating to tourists preferences for better understanding the insight of potential tourists relating to Indian-tourist destinations.

A descriptive, survey research design was chosen to investigate and organize the different components or items in degrees of priority to explain the tourists’ destination brand selection behaviour. In total, 387 empirical tourist samples were collected across India covering both domestic and international tourist segments. An evidence-based management modelling with RIDIT analysis is done to examine the factors, which have influencing role on tourist-destination brand choice behaviour related to Indian tourism market.

The outcome of this research paper should enable the tourism marketers, tourism service providers, tourism brand managers and consultants to create better linkages between the prospective tourists’ preferences and the marketing mix of the destination brands by using evidence based management modelling.

The present research is an original and innovative thought process, trying to evaluate the components or factors influencing tourists’ destination brand selection behaviour pertaining to Indian tourism sector by using the RIDIT approach. Research undertaken so far in tourism marketing area has investigated the different components related to tourism behaviour and destination-brand selection intention of the potential tourists in an unintended and less organized manner. This study can be seen as the first empirical evidence in the domain of tourism marketing where evidence based management modelling with RIDIT approach is done.

This study aims to explore and comprehend the reasons behind individual investors’ intention towards socially responsible investment (SRI) in the Indian stock market along with examining the validity of the theory of reasoned action (TRA) model to predict such phenomenon in the Indian context.

The TRA has been used as an underlying framework and has been extended by adding four variables, namely, moral norms, environmental concern, financial literacy and financial performance. The study used a self-administered questionnaire and adopted a convenience sampling method for a survey to collect the data from the individual investors from the capital cities of three states of India. Further, the collected data have been analysed using two-step structural equation modelling.

Results of this study indicate a significant impact of attitude, subjective norms, moral norms, financial literacy and financial performance on investors’ intention towards SRI; however, no significant relation was found between environmental concern and investors’ SRI intention. The multiple squared correlation (R²) shows that the final model could explain 71% of the variance in investors’ intention towards SRI, which signifies a successful implementation of TRA model along with new additions to predict investors’ decision-making behaviour for SRI. Moreover, investors are found to be highly concerned primarily about their financial goals and then for their personal obligation towards society as far as SRI is concerned.

This study reports significant and prominent importance of subjective norms in SRI which could be a strategic theme for the government and the policymakers to influence investors through their opinion leaders to promote SRI. The government should also increase its efforts to facilitate financial literacy among citizens.

Using the TRA model and four variables, namely, moral norms, environmental concern, financial literacy and financial performance addition to its original variables, this study extends the understandings of SRI which is perhaps the novelty of this paper because such examination of SRI has not been conducted, especially in the case of developing countries such as India.

The present study primarily aims to investigate the role of the high-performance work system (HPWS) in shaping learning orientation (LO). Moreover, the study delves into the examination of affective commitment's (AC) role as a mediator. Additionally, the research extends to exploring the potential moderating impact of workplace settings, specifically offline, online and hybrid workplaces, on the mediated relationship.

The model has been tested on 360 respondents from the IT sector in India. The data have been validated using confirmatory factor analysis and structural equation modeling.

The results indicate that AC mediates the relationship between HPWS and LO. Furthermore, this mediation was found to be positive and significant in hybrid and offline workplace settings, whereas it was found to be insignificant in the online workplace setting.

The self-report responses from the respondents could potentially introduce a limitation, as respondents might lead to inflated outcomes in the research findings. While Harmans’ single-factor test did not indicate any common method bias, it is important to acknowledge that this bias might not have been completely eliminated.

The present study has expanded upon the existing research on HPWS by examining its influence on LO, while also considering AC as a mediator. Furthermore, it is noteworthy that no prior studies have undertaken a comparative analysis of this relationship across various workplace settings.

The purpose of this paper is twofold: first, to explore the relationship between success parameters and implementation of advanced manufacturing technology (AMT); and second, to examine the changes required in manufacturing system as a result of AMT implementation.

The first order confirmatory factor analysis was performed to validate the presence of observed variables on their respective latent variable. Structural equation modeling is used to test the considered eight hypotheses.

The finding indicates that all five success factors are positively related to the AMT implementation. The redesign in the production system and organization strategy is directly related to the AMT implementation. The notable finding is the AMT implementation has no direct impact on the redesign of human resource, but it has mediated impact through the production system.

The originality and reliability of data collected for research purpose merely depends upon information and the accessible resources.

The outcome of the present work gives rise to meaningful implications for researchers and practitioners as well.