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The purpose of this paper is to provide an overview of the current state of knowledge on the economic performance of genetically modified (GM) cotton worldwide based on a wide range of data and source from available literature, and second to assess yield gain and economic performance.

A systematic review was captured to provide the evidence of potential benefits of GM cotton. A country-specific analysis was conducted in order to compare economic indicators and employed meta-analysis to find out the significance of the different of GM cotton over its counterpart.

This paper depicts positive impact of commercialized GM cotton in terms of net revenue, and the benefits, especially in terms of increased yields, are greatest for the mostly farmers in developing countries who have benefitted from the spill over of technology targeted at farmers in industrialized countries.

Due to the variability of the data which came from different methodologies, it is difficult to determine the differences of the performances each individual study.

This, it is believed that results from this study can be useful for operations of all sizes as the authors think about what needs to be focussed on for long-term producers survival.

The paper clearly indicates that China is the highest cotton yield of GM cotton, the lowest cost of GM seed and the lowest cost of chemical spray compare to any other countries. Therefore, this is the fact that the adoption of GM cotton has been widely spread among the farmers across the regions in China.

The purpose of this paper is to assess whether China’s public sector can continue to generate advanced genetically modified (GM) technologies that will be competitive in the market.

The authors investigated all the research teams that have been conducting research projects under the variety development special program. The data collected include detail information on research capacity, research areas, performance, and process of their research projects. Based on the survey data, the authors assessed the innovations and progress of the variety development special program.

Unlike other countries, most GM products in China are developed by public research institutes. There is rising concern on the ability of China’s public sector to continuously generate indigenous GM technology that can compete with multinational companies. The study surveyed 197 research institutes and 487 research teams and found that the GM program in China lacks coordination: researchers do not want to share their research materials with others. Due to the lack of coordination, most of the hundreds of research teams often worked independently in the year 2008-2010. Moreover, the authors found the lack of coordination may be due to the reason that the interests of researchers are not well protected. This paper also provided the recent progress and policy changes of GM program in China, and it found that the efficiency in the later three years improved a lot. In order to establish a competitive national public GM research system, China should continuously consolidate and integrate the upstream, midstream, and downstream activities of the whole GM innovation process. China’s public sector may also need to work more closely with both the domestic and international private sectors.

This paper is a comprehensive analysis on the development of transgenic technology in China. The results of this paper can provide evidence for the dynamic adjustment of the policies in the variety development special program and can also provide reference for the future assessment of the variety development special program.

In the face of diverse national and international threats, the purpose of this paper is to explore the transformational leadership challenges in emergency services systems in Canada. These adaptive complex systems respond to critical mass emergencies, disasters and catastrophes.

This qualitative research study uses grounded theory to examine the phenomenology of emergency services leadership from systems perspective. Using the theoretical Wu-Shi-Ren (WSR)-Li systems paradigm, this key informant study of 103 emergency leaders from 81 organizations focusses on the systemic challenges that transformational leaders face in emergency services systems. The response rate was 83.5 percent using a semi-structured and open-ended questionnaire.

This key informant study underscores the competencies for transformational leadership and identifies 12 key leadership challenges in the context of the future evolution of emergency services systems. From the use of a grounded theory methodology, the new theory of transcendental transformational emergency leadership is posited.

Qualitative studies such as this key informant study underscores the relevance of the WSR-Li systems paradigm and grounded theory approach in discerning leadership challenges that are specific if not unique to emergency services systems.

This study underscores the theoretical and pragmatic implications of the transformational leadership challenges for leadership paradigms, innovation and inter-sectorial collaborative networks and possible future emergency services research.

This study stresses the importance of addressing leadership challenges of emergency services systems as instrumental in ultimately saving lives, minimizing injuries and assuring complete health and social recovery from the scourges of emergency events nationally and internationally.

Qualitative studies of the perspectives of strategic emergency leadership of systemic emergency services systems has not hitherto been done in Canada nor internationally. This key informant study underscores the relevance of the WSR-Li systems paradigm and grounded theory approach in discerning transformational leadership challenges that are specific if not unique to emergency services systems. Moreover, from the use of a grounded theory approach, a new theory of transcendental transformational emergency leadership emerged.

This study aims to analyze the complexities of the Brazilian soybean supply chain (SSC) and develop strategic interventions to improve the origin system’s performance.

This study used stakeholder interviews to identify the SSC bottlenecks and determine and assess drivers of competitiveness. A methodological framework based on the systems thinking approach for developing long-term structural changes was used. The problem was structured using behavior over time graph and causal loop modeling to propose three investment strategies to solve the logistics problem in SSC.

This study highlights the gaps in coordination between stakeholders and the public sector regarding the public policy for infrastructure investment. Three strategic interventions were developed to address the agro-industrial logistical problem, namely, investment in storage, multimodal transport systems and improvements in existing transport infrastructure. To overcome transport and storage logistics limitations, the authors suggest different forms of partnerships, including public-private partnerships.

This research is limited to evaluating an agricultural commodity (soybean) and does not include its by-products. The sample of stakeholders was limited and the boundary of analysis was Brazil. Nevertheless, the study showed how strategic interventions could be developed following a holistic analysis.

The proposed integrated approach illustrates the development of three strategic initiatives. It can be implemented by stakeholders, including the public sector, which is the basis for providing assertive long-term investments in Brazilian logistics.

The SSC analysis could promote the implementation of systemically determined interventions and strategies. It could significantly improve the performance of agricultural systems and help the formulation of public policies aimed at rural development.

The use of system dynamics to identify intervention points is an essential contribution to mitigating the SSC’s hindrances. Moreover, the combining methodologies resulted in comprehensive intervention strategies.

This study aimed to identify research trends and topics in sustainability assessment in the food sector within the scope of economics, business and management research.

The authors conducted a bibliometric analysis by applying a rigid and systematic research protocol, employing bibliometric techniques and a keyword co-occurrence network. Further, the Visualization of Similarities viewer software was used to analyse publications between 1994 and 2021.

The knowledge trends regarding “sustainability assessment” in the research area of business economics demonstrated a notable evolution of the topics analysed, ranging from indicators and policy analyses in agriculture and fishery sectors, to the topic of sustainability life cycle assessment (LCA) and management systems. In business and management research areas, the main theoretical frameworks used for sustainability assessment in the food sector included the triple-bottom line (TBL) and the LCA, and the main research topics were food chain logistics, bio-based products, retailers, consumption patterns and crop-based biodiesel options.

This study employed only the WoS database and future studies could incorporate other scientific databases. Regarding future research, more emphasis could be laid on food retailers given their prevalence as demonstrated by the study and past research.

The findings can help all participants in the food global value chain to make better decisions to guide their sustainability efforts and assessment. Moreover, this research reveals that companies need to be actively engaged with their stakeholders and pay special attention to consumer patterns and perceptions.

The bibliometric research focus on business and management research areas using the Web of Sciences categories, starting from the research area of business economics to the analysis of the food sector's sustainability assessment.

This paper aims to assess the consumption of dairy products in Kuwaiti children, and develop and validate a semi-quantitative food frequency questionnaire to measure dairy product consumption.

This cross-sectional study was based on a sample of child–parent dyads (n = 150). A dietary assessment questionnaire on local dairy products consumed by preschool and preadolescent children was developed. Serving and portion sizes were evaluated on the basis of the guidelines of the United States Department of Agriculture and the American Academy of Pediatrics to calculate median intake levels of three age groups (3-5, 6-8 and 9-11 years).

All children met or exceeded the recommended daily servings of dairy products for their age and sex. Dairy product intake was often from processed dairy including milk-based desserts, flavored milk and cheese. Compared to boys, girls consumed more yogurt (15.5 per cent vs 14.2 per cent, p = 0.001) and milk-based desserts (15.5 vs 14.3, p = 0.001). In boys, flavored milk contributed more to the total dairy intake than in girls, especially in 6-8-year-olds (21.8 per cent vs 18.9 per cent, p = 0.021). Weight status was not associated with dairy product intake in either sex.

This is the first study that quantifies dairy product consumption in Kuwaiti children and provides insight into sex-specific trends in dairy product selection. The findings of this study may help in investigating relationships between dairy product consumption in children and disease risk factors, and are important for the development of local dietary guidelines for children.

The research is based on a critically analyzed literature review focused on the unanticipated outcomes, trade-offs and tensions of sustainable operations and supply chain management (OSCM), including the articles selected for this special issue.

The authors introduce the key concepts, issues and theoretical foundations of this special issue on “The hidden side of sustainable operations and supply chain management (OSCM): Unanticipated outcomes, trade-offs and tensions”. The authors explore these issues within this context, and how they may hinder the authors' transition to more sustainable practices.

The authors present an overview of unanticipated outcomes, trade-offs, tensions and influencing factors from the literature, and identify how such problems may emerge. The model addresses these problems by highlighting the crucial effect of the underlying state of knowledge on sustainable OSCM decision-making.

The authors limited the literature review to journals that ranked 2 and above as defined by the Chartered Association of Business Schools Academic Journal Guide. The main implication for research is a call to focus attention on unanticipated outcomes as a starting point rather than only an afterthought. For practitioners, good intentions such as sustainability initiatives need careful consideration for potential unanticipated outcomes.

The study provides the first critical review of unanticipated outcomes, trade-offs and tensions in the sustainable OSCM discourse. While the literature review (including papers in this special issue) significantly contributes toward describing these issues, it is still unclear how such problems emerge. The model developed in this paper addresses this gap by highlighting the crucial effect of the underlying state of knowledge concerned with sustainable OSCM decision-making.

This study aims to measure the intensity of innovation in the Brazilian food sector and compares it to other manufacturing sectors in the country.

The authors used economic and financial data provided by the annual survey of industry [Pesquisa Industrial Anual (PIAs), in Portuguese] and other supporting data provided by the survey of innovation [Pesquisa de Inovação (PINTEC), in Portuguese] and the classification of technology intensity (TI) proposed by the Organization for Economic Co-operation and Development. The authors subsequently applied the Malmquist index in addition to the data envelopment analysis to measure innovation.

The results reveal that the Brazilian food sector is classified as a sector with low TI and investment in research and development (R&D), which represents one of the lowest rates when compared to other sectors. Thus, the Brazilian food sector is far from achieving its full potential. Nevertheless, the authors noticed that the sugar refinery industry showed an evolution in its technology frontier and presented a frequency of innovation similar to the average of high-tech industries.

This study contributes to the debate on innovation in the food sector, emphasizing the need to accomplish higher investments in R&D to increase the productivity of the sector.

This paper aims to study how multinational enterprises (MNEs) can best integrate legitimacy concerns into their new product-launching strategy to successfully introduce high-value hi-tech innovations in emerging countries.

Theoretical constructs on the role and process of legitimacy construction for the introduction of a new product are built upon the existing literature. Then they are validated and refined through the formulation and analysis of case studies of the launch of genetically modified cotton seeds by Monsanto in India and a HIV/AIDS drug cocktail by Merck in Brazil.

Legitimacy construction can serve MNEs to face challenges successfully while launching high-value hi-tech products in emerging countries. Challenges to MNEs are likely to be founded on a combination of four types of uncertainties: technological, commercial, organizational and societal. Expected challengers are public agencies and actors representing civil society. An MNE can prepare itself through legitimacy construction along three dimensions: redesign of technology, revision of marketing strategy and non-market investments. To implement the aforesaid, MNEs can engage in outreach in the form of strategic patience, market transaction, business collaboration, compromise and/or confrontation with diverse carefully chosen stakeholders.

The authors limited ourselves to tracing only the formal interactions of MNEs, while it is well-known that many informal and backdoor activities can also accompany their growth in emerging economies.

Legitimacy construction can help MNEs face challenges successfully while launching high-value hi-tech products in emerging countries. This calls for an evaluation of the systemic uncertainties followed by the formulation of a strategy for legitimacy construction and implementation through outreach to diverse systemic actors. Strategic patience can yield positive returns. Market transactions can serve as economic anchors. Collaboration can be pursued with parties who can share the costs of legitimization construction and/or reduce technological and marketing uncertainties. Confrontation should be the last choice. Compromise is the most probable but not the only outreach strategy possible after a confrontation.

Legitimacy implies product acceptance not only from the targeted consumer but also other societal stakeholders concerned with the safety and equity of the consumption in the emerging country, especially when regulations are not well-defined and/or implemented. The two kinds of societal stakeholders which are likely to monitor MNEs are public agencies and civil society groups. Public agencies will be concerned about the quantity, quality, technology or price of the innovation to be introduced. Civil society and NGOs may help the MNE act as citizen watchdogs for the environment and vulnerable communities.

Theoretical constructs have been developed in this paper on the sources of challenges in new product introduction, the types of challengers and the components of the firm’s legitimacy construction strategy and its implementation through an outreach strategy.

Genetic risk for depressive disorders is poorly understood despite consistent suggestions of a high heritable component. Most genetic studies have focused on risk associated with single variants, a strategy which has so far only yielded small (often non-replicable) risks for depressive disorders. In this paper we argue that more substantial risks are likely to emerge from genetic variants acting in synergy within and across larger neurobiological systems (polygenic risk factors). We show how knowledge of major integrated neurobiological systems provides a robust basis for defining and testing theoretically defensible polygenic risk factors. We do this by describing the architecture of the overall stress response. Maladaptation via impaired stress responsiveness is central to the aetiology of depression and anxiety and provides a framework for a systems biology approach to candidate gene selection. We propose principles for identifying genes and gene networks within the neurosystems involved in the stress response and for defining polygenic risk factors based on the neurobiology of stress-related behaviour. We conclude that knowledge of the neurobiology of the stress response system is likely to play a central role in future efforts to improve genetic prediction of depression and related disorders.