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The purpose of this paper is to provide a comprehensive review on the academic journey of artificial intelligence (AI) in agriculture and to highlight the challenges and opportunities in adopting AI-based advancement in agricultural systems and processes.

The authors conducted a bibliometric analysis of the extant literature on AI in agriculture to understand the status of development in this domain. Further, the authors proposed a framework based on two popular theories, namely, diffusion of innovation (DOI) and the unified theory of acceptance and use of technology (UTAUT), to identify the factors influencing the adoption of AI in agriculture.

Four factors were identified, i.e. institutional factors, market factors, technology factors and stakeholder perception, which influence adopting AI in agriculture. Further, the authors indicated challenges under environmental, operational, technological, economical and social categories with opportunities in this area of research and business.

The proposed conceptual model needs empirical validation across countries or states to understand the effectiveness and relevance.

Practitioners and researchers can use these inputs to develop technology and business solutions with specific design elements to gain benefit of this technology at larger scale for increasing agriculture production.

This paper brings new developed methods and practices in agriculture for betterment of society.

This paper provides a comprehensive review of extant literature and presents a theoretical framework for researchers to further examine the interaction of independent variables responsible for adoption of AI in agriculture.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2020-0448

This article analyzes an approach to public diplomacy that involves leveraging local voices. It demonstrates the power of culture, particularly in collective settings such as festivals, to engage citizens in countering violent extremism, building peace and tolerance, and fighting corruption. Four case studies from Mali illustrate how integrating historical and living culture into peace-building strategies works effectively in this West African nation torn by jihadist and ethnic strife.

The author has used a field-based approach. The conclusions presented here are based on her own experiences in Mali, as well as hundreds of conversations with Malian colleagues and officials. The cultural diplomacy/soft power/hard power framework for the article is based on her own experiences as US Ambassador to the Netherlands, 1998–2001.

Culture, especially music, has unparalleled and untapped capacity to bring people together across differences in Mali, and to inspire them to envision a positive future for their country, and to work to achieve it. The lessons from the Mali case studies can be applied elsewhere.

These Malian case studies demonstrate that culture belongs at the center and not the periphery of peace-building. They also show the efficacy of the “leverage local voices” approach to cultural diplomacy. The findings here are based on my experiences and those of others working in Mali.

Based on the findings from these Malian case studies, local cultural expression and actors should be integrated into efforts to build peace and counter violent extremism.

These Malian case studies also demonstrate that shared cultural events help build social cohesion in societies frayed by conflict and/or violent extremism. In countries with high illiteracy rates like Mali, song lyrics help convey socio-political messages of peace, tolerance, and unity.

The “leverage local voices” approach to cultural diplomacy offers a different model than the traditional method of sending artists from the originating country (such as the USA) abroad. Local voices – whether living or from the past, as in the case of the Timbuktu manuscripts – have greater credibility and resonance than foreign ones. That culture works so effectively toward reconciliation, social cohesion and building peace in one of the most challenging environments in the world – Mali – suggests that other countries and regions should also explore and exploit the power of culture to dampen violence and orient the population to living together harmoniously.

This paper investigates how two characteristics of language, abstractness vs concreteness and narrativity, influence user engagement in communication exercises on innovation targeted to the general audience. The proposed conceptual model suggests that innovation fits well with more abstract language because of the association of innovation with imagination and distal construal. Moreover, communication of innovation may benefit from greater adherence to the narrativity arc, that is, early staging, increasing plot progression and climax optimal point. These effects are moderated by content variety and emotional tone, respectively.

Based on a Latent Dirichlet allocation (LDA) application on a sample of 3225 TED Talks transcripts, the authors identify 287 TED Talks on innovation, and then applied econometric analyses to test the hypotheses on the effects of abstractness vs concreteness and narrativity on engagement, and on the moderation effects of content variety and emotional tone.

The authors found that abstractness (vs concreteness) and narrativity have positive effects on engagement. These two effects are stronger with higher content variety and more positive emotional tone, respectively.

This paper extends the literature on communication of innovation, linguistics and text analysis by evaluating the roles of abstractness vs concreteness and narrativity in shaping appreciation of innovation.

This paper reports conceptual and empirical analyses on innovation dissemination through a popular medium – TED Talks – and applies modern text analysis algorithms to test hypotheses on the effects of two pivotal dimensions of language on user engagement.

Purpose: This chapter aims to identify and evaluate the various components of business model disclosures in an Integrated Report and ascertain how the notion of business model is perceived among practitioners.

Need for the Study: According to previous research, the International Integrated Reporting Council’s (IIRC) objective of improving corporate reporting by encouraging organisations to disclose their business model has not found the desired recognition. Therefore, the study elaborates on the various components of business model reporting and their implications on corporate reporting in general.

Methodology: A review of literature was conducted to identify and analyse research based on business models and their disclosures in integrated reporting. A narrative review was undertaken for selected literature.

Findings: The findings suggest that most large-sized organisations use integrated reporting for impression management and are not inclined to disclose too much about their business models for fear of competition. There is still a lack of clear understanding of what a business model should entail.

Practical Implication: This study adds to the research on business model disclosures in integrated reporting. Voluntary disclosure and a better understanding of such disclosures will prepare organisations of all sizes and industries for an event when Integrated Reporting becomes statutory.

In a first of its kind, this paper tries to explore the long-run relationship between investors' sentiment and selected industries' returns over the period January 2010 to December 2021.

The paper uses 23 market and macroeconomic proxies to measure investor sentiment. Principal component analysis has been used to create sentiment sub-indices that represent investor sentiment. The autoregressive distributed lag (ARDL) model and other sophisticated econometric techniques such as the unit root test, the cumulative sum (CUSUM) stability test, regression, etc. have been used to achieve the objectives of the study.

The authors find that there is a significant relationship between sentiment sub-indices and industries' returns over the period of study. Market and economic variables, market ratios, advance-decline ratio, high-low index, price-to-book value ratio and liquidity in the economy are some of the significant sub-indices explaining industries' returns.

The study has relevant implications for retail investors, policy-makers and other decision-makers in the Indian stock market. Results are helpful for the investor in improving their decision-making and identifying those sentiment sub-indices and the variables therein that are relevant in explaining the return of a particular industry.

The study contributes to the existing literature by exploring the relationship between sentiment and industries' returns in the Indian stock market and by identifying relevant sentiment sub-indices. Also, the study supports the investors' irrationality, which arises due to a plethora of behavioral biases as enshrined in classical finance.

The purpose of this paper is to identify the antecedents of continued usage intentions in the connected devices ecosystem in health care by analyzing the users' and physicians' expectations in a new ecosystem where one prefers to connect digitally rather than physically.

This is a unique study in which data was collected from 242 doctors and 215 end-users to gauge the expectations from the connected devices in health care. Further, these responses were hypothesised using UTAUT-2 and ECT theories to analyze general users’ and professional users’ or doctors’ expectations for continued usage in connected devices ecosystem in the health-care ecosystem.

Performance expectancy, social influence, facilitating conditions and price value emerged as significant predictors of satisfaction in both user groups. But habit and hedonic motivation reflected an insignificant impact on user satisfaction. Surprisingly, effort expectancy emerged as a significant factor for end-user satisfaction, and this became insignificant for professional user satisfaction. Satisfaction was positively related to continued usage for both user groups, and app quality has a positive impact on all the predictors.

To the best of the authors’ knowledge, this is the first comparative study to understand the factors which influence consumer behavior leading to a holistic model and can be imbibed for creating a better customer experience in an era where we are more comfortable connecting digitally rather than physically.

This study has used the Unified Theory of Acceptance and Use of Technology-2 model and expectation confirmation theory to analyze the key factors influencing the intentions for continued usage of devices in the Internet of Medical Devices setup.

India is a country of socio-cultural diversity. Every society and culture existing in India is full of values, ethics and morality regarding good deeds. The exhaustive survey of corporate social responsibility (CSR) literatures from Indian philosophical perspectives observes many studies based on the socio-cultural and religious aspects. It has been observed all these philosophical views and concepts covering socio-cultural and religious backgrounds have received attention in the field of CSR. It is observed that almost all views have been fully explored in the context of CSR. Therefore this chapter tries to detect the drivers of CSR with all these philosophies prevalent in the culture of Indian society. This study utilises the hermeneutics, a qualitative research methodology which involves an in-depth study, critical analysis, thoughtful understanding and explanatory interpretation of the concepts of CSR originated from diversified Indian society and culture. In a nutshell, from these viewpoints and philosophies of different cultures, CSR is seen from an inside-out perspective.

This paper aims to investigate and compare the impact of foreign and domestic institutional investors on the market value of family and non-family companies. Subsequently, it examines how different degrees of family ownership influence foreign and domestic institutional investors and their value impacts.

The sample of this study includes 339 non-financial firms from NIFTY-500 for 11 years from 2011 to 2020, which contains 128 family and 211 non-family companies. Both static (fixed-effect model) and dynamic (two-step system generalized method of moments) models are employed to test the hypotheses.

Findings suggest that foreign institutional investors outshine domestic institutions regarding value creation. Meanwhile, higher (>50%) family holdings are detrimental to foreign institutional investors, while moderate holdings (26–49%) improve domestic institutional investments. The favorable effect of foreign players gets diluted with the higher (>50%) family holdings, while the adverse impact of domestic players improves with the moderate (26–49%) family holdings. Overall, partial family control is beneficial, while low and absolute family control is detrimental to market value. These findings indicate that institutional investors are family control-dependent, where the family control effect is not static.

This paper offers a novel perspective by addressing the effect of costs and benefits realized at three distinctive levels of family holdings on foreign and domestic institutional investors and their value impacts to witness differences caused by varying family control, which is not done earlier as per the best of our knowledge.