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The purpose of this research is to investigate the use of Twitter in business as a medium for knowledge sharing and to crowdsource information to support innovation and enhance business relationships in the context of business-to-business (B2B) marketing.

This study uses a combination of methodologies for gathering data in 52 face-to-face interviews across five countries and the downloaded posts from each of the interviewees' Twitter accounts. The tweets were analysed using structural topic modelling (STM), and then compared to the interview data. This method enabled triangulation between stated use of Twitter and respondent's actual tweets.

The research confirmed that individuals used Twitter as a source of information, ideas, promotion and innovation within their industry. Twitter facilitates building relevant business relationships through the exchange of new, expert and high-quality information within like-minded communities in real time, between companies and with their suppliers, customers and also their peers.

As this study covered five countries, further comparative research on the use of Twitter in the B2B context is called for. Further investigation of the formalisation of social media strategies and return on investment for social media marketing efforts is also warranted.

This research highlights the business relationship building capacity of Twitter as it enables customer and peer conversations that eventually support the development of product and service innovations. Twitter has the capacity for marketers to inform and engage customers and peers in their networks on wider topics thereby building the brand of the individual users and their companies simultaneously.

This study focuses on interactions at the individual level illustrating that Twitter is used for both customer and peer interactions that can lead to the sourcing of ideas, knowledge and ultimately innovation. The study is novel in its methodological approach of combining structured interviews and text mining that found the topics of the interviewees' tweets aligned with their interview responses.

The purpose of this paper is to evaluate two different asset selection methodologies and further examine these by forming optimal portfolios.

This paper deals with the problem of portfolio formation, broadly in two steps: asset selection and asset allocation by using the two different approaches for the first step and then well‐known mean variance portfolio optimization. In addition, the resulting portfolios are compared using Sharpe ratio.

The empirical observations prove the applicability of the methodology adopted in the research design, ordered weighted averaging (OWA)‐heuristic algorithm gives us a better portfolio from the sample observations. Also the asset selection procedures adopted in the research proves to be of help when an investor has to narrow down the number of assets to invest in.

The analysis provides two different methodologies for portfolio formation – though the asset allocation is based on the mean variance portfolio optimization, the asset selection methods adopted provide a systematic approach to select the efficient securities.

This paper shows that OWA can be used to decide the order of inputs for the heuristic algorithm. Also an attempt is made to use data envelopment analysis to find a solution to the problem of portfolio formation.

As a solution to these crises, bringing back the feminine sensitivity can become a welcome change. The Bishnoi community, in particular, propagated Eco-feminism for the cause of the environment. Therefore, this paper aims to study the community in detail along with suggesting a Bishnoi Environment Protection Model as an Indian indigenous solution to the global environmental problems.

The method of obtaining information was a detailed questionnaire-based interview along with multiple focus group discussions. The interviews were conducted with the women who belong to the Bishnoi community and who are actively taking forward the ethos of their community. Interviews were conducted across a span of different villages to cover a different portion of the Bishnoi population. Adding to this, multiple focus group discussions took place in the temple, wild-life protection center, Self-help group women's households, community meetings.

Religion and science are complementary and supplementary to each other in the true sense. It would be good to recall what the greatest scientist had said “Science without religion is blind and religion without science is lame”.

The research limitation of this paper is that it is a field study-based research wherein the research findings are the outcomes of personal interviews with the village community people. The limitation, therefore, lies in the simplicity of the research arguments put forward in this paper. The implication of this research would be to challenge the dominant research paradigms in the field of Eco-feminism and Climate Change and bring grass root narratives to the forefront.

The practical implication of this research paper is that in Environment related policy solutions, rural women should be appointed as consultants of advisors in the high profile decision-making policy groups. It would make the process very democratic and rooted in ground-level solutions. If the Bishnoi community women of India are given their due regard they would eventually play significant roles in the decision-making groups at the national and international levels.

Other than having a policy implication, this research paper has a social implication too. The community narratives which have been hidden for so long in the remote villages of India will come to the forefront and help as a guiding force.

This paper recommends that India should propagate its culturally-rooted principles such as the one in Jambhoji's commandments. India should strongly put these normative values in the international organizations and contribute to a new epistemology of knowledge in the counter effect of existing ones. This would make a paradigm shift at the level of the knowledge-power in which the developed nations manipulate the rest of the world. The new terminologies, concepts, agendas, goals should be formulated by deriving the knowledge from age-old communities in India. The people of these communities have even given their lives for the protection of the environment.

This study explores consumers' perceptions of purchasing fast food items through online platforms. The central idea of this research is to practically assess the various elements impacting the consumers’ perceptions of online purchasing of fast food items and find out the factors with high importance and performance value.

A quantitative research approach was used to collect data from 402 participants in the form of a pen-and-paper-based method using a 5-point Likert scale. The collected data were analyzed using structural equation modeling (SEM) and importance-performance analysis. Theory of planned behavior and technology acceptance model form the basis for this research.

The findings indicate that constructs such as convenience, perceived quality and perceived healthiness positively influence consumers' perceptions of online purchasing of fast food items. On the other hand, competitive prices, discounts and promotions (CPDP) and online shopping experience have no significant impact on perceived value for money.

A constraint of this study is that it was done in a particular geographical location, which restricts the generalizations of the findings. The study only examined consumers' perceptions of online fast food purchasing, and future research could explore consumers' actual behaviors toward personalized fast food recommendations by online sellers.

The research supports and extends the existing literature by comprehensively understanding consumers' perceptions of purchasing fast food online. These findings can help online fast food sellers improve their services and develop targeted marketing strategies.

The case talks about Hind Tea Pvt. Ltd (HTPL)-a small and medium enterprise (SME) in India that is 100% owned by Wadhwa family. HTPL procures processed tea from auctions and sells it to distributors under its own brand names. The case describes the journey of two brothers and how the next generation of the family takes over and aspires to make the company a national level player. These aspirations pose new demands on the owners and the business; the case talks about decision making in the family under such a scenario. The case poses interesting questions related to governance, professionalization, succession, and decision making in the family.

The purpose of the present article is to obtain the similarity solution for the shock wave generated by a piston propagating in a self-gravitating nonideal gas under the impact of azimuthal magnetic field for adiabatic and isothermal flows.

The Lie group theoretic method given by Sophus Lie is used to obtain the similarity solution in the present article.

Similarity solution with exponential law shock path is obtained for both ideal and nonideal gas cases. The effects on the flow variables, density ratio at the shock front and shock strength by the variation of the shock Cowling number, adiabatic index of the gas, gravitational parameter and nonidealness parameter are investigated. The shock strength decreases with an increase in the shock Cowling number, nonidealness parameter and adiabatic index, whereas the strength of the shock wave increases with an increase in gravitational parameter.

Propagation of shock wave with spherical geometry in a self-gravitating nonideal gas under the impact of azimuthal magnetic field for adiabatic and isothermal flows has not been studied by any author using the Lie group theoretic method.

This study aims to conduct a bibliometric analysis of sustainable tourism research published in Scopus-indexed journals covering the period from 1997 to 2021. Articles published during these 25 years were subjected to science mapping and performance analysis to propose potential areas for future research.

A bibliometric analysis using performance analysis and science mapping was conducted on 1,754 research papers retrieved from the Scopus database using the keyword “sustainable tourism.” Biblioshiny and VOSviewer are commonly used bibliometric tools. Science mapping techniques use coauthorship, keyword co-occurrence and co-citation analyses.

This study revealed the sustainable tourism publications’ spatial and temporal patterns, indicating a yearly growth rate of 19.9% during a 25-year period. The study identified Stefan Gossling as the most influential author, the “Journal of Sustainable Tourism” as the leading journal and Australia as the most productive country in sustainable tourism literature. The study used co-citation analysis to identify five thematic clusters, namely, reconceptualization and criticism, the role of residents, eco-labeling and the role of stakeholders, community-based tourism and the shift toward establishing sustainability indicators and effective governance and policymaking. The coauthorship analysis identifies the most influential author in collaborative efforts, and the most common pattern of collaboration is between researchers from different institutions in the same country, such as China and the Philippines, followed by collaborations between authors from other countries. The keyword co-occurrence analysis uncovered keywords that aligned with theme clusters generated from the co-citation analysis.

This study comprehensively uncovers five thematic clusters that have never been extracted so far in the literature. Also, it attempts to fill the gaps related to sustainable tourism by suggesting directions for future research.

The Indian public sector construction industry is normally driven by traditional contracting practices. Though no formal partnering agreement is being used in public sector projects in India, improvement in Indian public sector organizations could be observed in the post-liberalization era, as they get the opportunities to work with multinational companies from countries with experiences in partnering. The purpose of this study is to explore the extent of partnering strategies being adopted by Indian public sector organizations and identify factors hindering the adoption of formal partnering.

Critical success factors for successful partnering were first identified through literature review. This guided the collection of primary data through semi-structured interviews with 36 top management personnel and secondary data in the form of organizational documents and site reports from several site visits of four public sector construction organizations. The evidence collected from four cases were arranged and compared against organizational strategies of successful partnering.

Most of the strategies adopted by the organizations were found to be in line with the suggested partnering practices. However, partnering performance of these organizations was found to be not satisfactory. This study has identified 14 factors hindering effective partnering such as reservations over joint risk-sharing process, limited bid evaluation criteria, difficulty in time-bound payment to contractor, absence of incentive mechanism, obsolete training procedures and absence of time-bound dispute resolution mechanism.

The research findings are based on a case study with four public sector organizations only. Additional cases need to be undertaken to generalize the findings. Further study should also be undertaken to explore partnering relationships between contractors and subcontractors in public sector projects.

To improve project performance, top management of public sector organizations in India can take these factors into account while formulating strategies on introduction of project partnering in their organizations.

The work is novel providing insights into organizational strategies promoting and hindering partnering in Indian public sector construction organizations.

This paper aims to understand and identify the various barriers in adopting new telecom services in rural areas for improving the penetration and revenue of the telecom companies. These barriers are modeled to study their inter-relationships and prioritize them for strategizing appropriate management action plans.

Delphi technique has been used to form a consensus with the telecom managers working in rural areas to finalize the barriers. An integrated Interpretive Structural Modeling–Analytic Network Process (ISM–ANP) approach has been adopted to establish the complex relationships, cluster the relationships, to understand and prioritize the telecom service adoption barriers.

The major contribution of this research is imposing directions and dominance of various barriers to promote better adoption of new telecom-based mobile services in rural areas. The proposed integrated method can aid in decision making by providing more informative, accurate and a better choice than using either ISM or ANP in isolation.

The generalizabilty of these research findings is limited, as it was generated specific to rural telecom service adoption barriers in Indian context. Because decision-making problems are usually complex and ill-structured, every decision is based on the decision-maker’s expertise, preferences and biasness of the experts who showed their interest to participate in the research.

This paper forms the basis of identifying the reasons for poor adoption of telecom-based mobile services in rural India. This study would help the telecom companies and the managers to understand and develop strategies to target the rural audience by introducing action plans and innovative mobile services to overcome the identified barriers. By applying the proposed methodology, telecom companies can classify and prioritize their action plans as short-, medium- and long-term plans to systematically overcome the identified barriers.

This paper provides a base for understanding various factors that affect the adoption of telecom-based mobile services. It demonstrates the use of an innovative approach to develop an integrated model to understand the barriers.

Tunnel field effect transistors (TFETs) have significantly steeper sub-threshold slope (24–30 mv/decade), as compared with the conventional metal–oxide–semiconductor field-effect transistors (MOSFETs), which have a sub-threshold slope of 60 mv/decade at room temperature. The steep sub-threshold slope of TFETs enables a much faster switching, making TFETs a better option than MOSFETs for low-voltage VLSI applications. The purpose of this paper is to present a novel hetero-junction TFET-based Schmitt triggers, which outperform the conventional complementary metal oxide semiconductor (CMOS) Schmitt triggers at low power supply voltage levels.

The conventional Schmitt trigger has been implemented with both MOSFETs and HTFETs for operation at a low-voltage level of 0.4 V and a target hysteresis width of 100 mV. Simulation results have indicated that the HTFET-based Schmitt trigger not only has significantly lower delays but also consumes lesser power as compared to the CMOS-based Schmitt trigger. The limitations of the conventional Schmitt trigger design have been analysed, and improved CMOS and CMOS–HTFET hybrid Schmitt trigger designs have been presented.

The conventional Schmitt trigger implemented with HTFETs has 99.9% lower propagation delay (29ps) and 41.2% lesser power requirement (4.7 nW) than the analogous CMOS Schmitt trigger, which has a delay of 36 ns and consumes 8 nW of power. An improved Schmitt trigger design has been proposed which has a transistor count of only six as compared to the eight transistors required in the conventional design. The proposed improved Schmitt trigger design, when implemented with only CMOS devices enable a reduction of power delay product (PDP) by 98.4% with respect to the CMOS conventional Schmitt trigger design. The proposed CMOS–HTFET hybrid Schmitt trigger further helps in decreasing the delay of the improved CMOS-only Schmitt trigger by 70% and PDP by 21%.

The unique advantage of very steep sub-threshold slope of HTFETs has been used to improve the performance of the conventional Schmitt trigger circuit. Novel CMOS-only and CMOS–HTFET hybrid improved Schmitt trigger designs have been proposed which requires lesser number of transistors (saving 70% chip area) for implementation and has significantly lower delays and power requirement than the conventional designs.