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This study aims to increase understanding of factors influencing the international marketing (IM) strategy of products from emerging markets (EMs) to international markets.

This study conducted case studies by collecting qualitative data through semistructured interviews with respondents from four food product companies in Bangladesh.

This study finds that the firms employ local Bangladeshi people who are knowledgeable in the company culture. They strategically focus on countries where the Bangladeshi diaspora lives and initially target them, approaching natives later. They adapt and customize products to the importers’ requirements to make them visible and increase understanding between product providers and local customers. The findings show that EM firms encounter a mentality that poor countries produce poor quality products; this mindset makes the internationalization of their business difficult.

This research contributes to international product marketing of EM firms by constructing a model of a modern people-oriented marketing strategy for food products. This study contributes to literature on culture by illustrating that the cultural dimensions of collectivism and uncertainty avoidance enhance the development of networks and trust and impact marketing strategy.

This study theorizes the importance of context and an innovation-driven modern people-oriented IM strategy that adapts to customers’ preferences for food products and emphasizes the contribution of diaspora. This research reveals that Bangladeshi firms face challenges both because customers link the country and the companies to low-quality products and because governmental regulations prevent them from establishing a local presence in other countries. This study analyzes challenges EM firms face in the process of IM and the factors affecting Bangladesh in particular.

This paper aims to investigate associations between firm resources and reliance on entrepreneurial marketing (EM) channels among agrofood ventures. It accounts for agropreneur gender and racial/ethnic status in the context of marketing channel portfolio composition. The authors examine the established assumption that resource limitations drive EM and whether socially disadvantaged status of agropreneurs is associated with marketing strategy beyond standard resourcing measures.

Using 2015 Local Foods Marketing Practices Survey data, the authors apply linear regression to investigate differences in the use of EM channels, accounting for resources, social status and other factors.

Limited-resource ventures rely more on consumer-oriented channels that require EM practices. Socially disadvantaged entrepreneurs favor these channels, even when accounting for resources. Notably, ventures headed by men of color rely more on the most customer-centric local foods marketing channel.

Future research should investigate how social and human capital influences the use of EM.

Entrepreneurial support policy and practice for agropreneurs should be cautious about the “double-burden” folk theorem of intersectional disadvantage and review how to best direct resources on EM to groups most likely to benefit.

This paper uses a unique, restricted, nation-wide, federal data set to examine relationships between resource endowments, social status and the composition of agrofood enterprises’ marketing channel portfolios. To the best of the authors’ knowledge, it is the first to include racial- and ethnic-minority status of agropreneurs and to account for intersectionality with gender.

The purpose of this paper is to explore empirically how the two kinds of strategic orientations including export market orientation (EMO) and technology orientation (TO) predict innovation performance (IP) and export performance (EP), by investigating the mediation effect of IP and the moderation effect of external network (EN).

The statistical population of this research is the food and agricultural products exporting firms which participated in the 26th International Agrofood Exhibition in Tehran, Iran. The sample of 296 managers filled out questionnaires using systematic random sampling methods. Structural equation modeling was used to analyze the data.

Results demonstrate that the increase of EMO and IP is related to a rise in EP. Furthermore, the research finds that IP is a partial mediator in the link between EMO and EP. Finally, the moderation impact of the external networks in an association between TO and IP is supported by the data.

This study is one of the limited number of studies to consider the mediation impact of innovation performance in the relationship between EMO and EP, and it is actually the first study, to the best of the authors’ knowledge, to investigate the moderating impact of EN in the relationship between TO and IP in the context of one developing country.

This paper aims to investigate the link between internal capabilities, innovation strategies and export performance (EP), considering the corporate social responsibility (CSR) principle as a moderator.

The statistical population of the current study is the food and agricultural products exporting small- and medium-sized enterprises (SME) which participated in the 27th International Agrofood Exhibition (2021) in Tehran, Iran. A sample of 296 managers was selected, using systematic random sampling, to answer the questionnaire. To analyze the data, we used structural equation modeling (SEM) and Hayes PROCESS in SPSS.

Results show that just manufacturing capabilities affect both exploratory and exploitative innovation, in contrast to marketing capabilities that does not have any significant impact on these two innovation strategies. Moreover, the impact of both explorative and exploratory innovation on EP is supported in the context of food and agricultural SMEs. However, CSR positively moderates the impact of exploratory innovation on EP, showing it has a negative effect on the impact of exploitative innovation on EP.

By addressing the research gap on the link between internal capabilities, innovation strategies, EP and CSR among SMEs, the current research provides valuable body of research that later studies in the literature can leverage or build upon.

This chapter aims to estimate the impact of the use of an innovative cultivation method on the social, economic and environmental aspects in the French region Aix-en-Provence, by using the survey data for 200 heterogeneous vegetable producers (organic and conventional). It distinguishes three types of producers in the French region Aix-en-Provence. First, conventional producers (n = 100) who used a high level of mechanization, better access to water, high yield, high labor costs. Second, certified organic producers (n = 70) who used organic technologies such as biotechnology and rotation, low yield, high organic product price compared to conventional products, a family workforce and high transport. Third, noncertified organic producers (n = 30) have used the same technologies as certified organic producers, while they sell their products at the same price as conventional products. Labor is the member of the family. These noncertified farms are marked by high operating and transport costs and low yield compared to conventional producers or certified organic producers. The results show that this cultivation method has a positive effect on the environmental aspect, however a negative one on the social and economic aspect.

The global recession caused by the COVID-19 pandemic has led to the closure of thousands of village-owned enterprises (VOEs), which are community-managed enterprises that operate in the hostile rural areas in emerging economies. Thus, considering that a Schumpeterian view of economic downturn sees recessions as times where old products/services decline while new products/services emerge, this paper aims to explore the specific innovation-based diversification strategies that matter for the survival of emerging economy VOEs in recession periods to develop new theoretical insights.

The study is based on multiple-case studies of 13 leading VOEs operating in the rural areas of Java Island in Indonesia, an emerging economy. The data was analysed using within-case and cross-case analyses.

Overall, a number of major novel findings have emerged from the analysis, based on which the authors developed several new propositions. First, from the perspectives of both new product and new service diversification, “unrelated diversification” is the primary resilience strategy that seems to be associated with the survival of VOEs in the COVID-19 recession, over and above “related diversification”. Second, from an industrial sector diversification perspective, the most dominant resilient strategy for surviving the recession is “unrelated diversification into tertiary sectors (service sector)”, over and above diversification into the primary sector (agriculture, fisheries and mining) and secondary sector (manufacturing and construction).

The authors contribute to the literature on entrepreneurship in emerging economies by identifying the resilience diversification strategies that matter for the survival of VOEs in recession.

Digital technologies are changing the business landscape and the way companies are run. This research examines the implementation of digitalisation and digital transformation (DT) and explores the associated advantages and disadvantages.

Case study methodology was employed to help develop an understanding of how key actors implement DT. Semi-structured qualitative interviews were performed with managers of two social economy enterprises in the agri-food sector supply chain.

The specific nature of the supply chain of companies in this sector can hinder the implementation of certain digital technologies. This scenario results in two different approaches to digital technologies: one focused on digitalisation, and another focused on DT. Companies in this sector that seek successful implementation of DT should choose and combine appropriate digital technologies that fit with their DT strategy. They should also structure their organisation to ensure the leadership of senior management to engage all staff.

This study is valuable because of its focus on cooperatives in its analysis of DT. There is scant research on this business model, so the present study helps fill this gap in the literature.

This study was conducted to forecast the monthly number of tuna landings between 2023 and 2030 and determine whether the estimated number meets the government’s target.

The ARIMA and seasonal ARIMA (SARIMA) models were employed for time series forecasting of tuna landings from the Malaysian Department of Fisheries. The best ARIMA (p, d, q) and SARIMA(p, d, q) (P, D, Q)¹² model for forecasting were determined based on model identification, estimation and diagnostics.

SARIMA(1, 0, 1) (1, 1, 0)¹² was found to be the best model for forecasting tuna landings in Malaysia. The result showed that the fluctuation of monthly tuna landings between 2023 and 2030, however, did not achieve the target.

This study provides preliminary ideas and insight into whether the government’s target for fish landing stocks can be met. Impactful results may guide the government in the future as it plans to improve the insufficient supply of tuna.

The outcome of this study could raise awareness among the government and industry about how to improve efficient strategies. It is to ensure the future tuna landing meets the targets, including increasing private investment, improving human capital in catch and processing, and strengthening the system and technology development in the tuna industry.

This paper is important to predict the trend of monthly tuna landing stock in the next eight years, from 2023 to 2030, and whether it can achieve the government’s target of 150,000 metric tonnes.

Organic food processing must include organic principles to be authentic. This qualitative study aims to understand the processors' understanding of organic food processing quality.

This study is based on semi-structured expert interviews with eight employees of six purely or partly organic dairies from Germany and Switzerland. Interview themes are (1) quality of organic milk processing in general, (2) assessment of specific processing techniques, (3) product quality of organic milk and (4) flow of information between producer and consumer. The interviews have been audio-recorded, transcribed verbatim and thematically analysed.

(1) Experts prefer minimal processing; some prefer artisanal processing, whilst others stress the advantages of mechanisation. (2) High temperature short time (HTST) pasteurisation and mechanical processing techniques are accepted; ultra-high-temperature (UHT) milk processing is partly rejected. (3) Traditional taste and valuable ingredients should be present in the final product. Natural variances are judged positively. (4) Consumers' low level of food technology literacy is challenging for communication.

The results cannot be generalised due to the qualitative study design. Further studies, e.g. qualitative case analyses and studies with a quantitative design, are necessary to deepen the results.

The paper shows which processing technologies experts consider suitable or unsuitable for organic milk. The paper also identifies opportunities to bridge the perceived gap between processors' and consumers' demands.

The study shows the challenges of processors in expressing the processors' understanding of process quality.

The global organic market is expanding, and India is in an advantageous position with the highest number of organic producers worldwide. Although many articles have been published on the value chain of organic products from India, no significant studies were found related to the value chain analysis of organic pineapple. This study aims to know the various aspects of the organic pineapple value chain, i.e. network structure, value addition at various stages of chain actors, value chain upgradation and governance structure.

The study is explorative in nature, and primary data from various actors involved in the chain is collected and analyzed. Primary data through a structured schedule and interviews are collected from farmers and traders. A multistage sampling plan has been adopted. A sample of 75 farmers was randomly selected from the study area. For traders, snowball sampling is used due to the nonavailability of the sampling frame. A total of 10 commission agents, 10 wholesalers and 20 retailers were thus selected for the study. For objectives 1 and 4, descriptive statistics are used. For objective 2, a modified formula described by (Murthy et al., 2007) is used to calculate farmer’s net price and marketing margin. For objective 3, Garrett’s ranking technique is used to identify various constraints in upgrading the organic pineapple value chain in Assam.

This study shows that the value chain of organic pineapple is in the initial stage and proper value addition is required to have a complete regulated value chain. Six marketing channel is identified, and products are sold through farmer producer company only in case of export and trade with distant buyers. The marketing efficiency for channels II and III is 1.69 and 0.99, respectively. The degree of value addition for channel II in the hands of the commission agent, wholesaler and retailer is 11.65%, 4.56% and 12.60%, respectively. In the various constraints in upgrading the value chain, farmers rank “policy support” as a major constraint. In the governance structure, trade with distant traders and exports is done formally and through written contracts.

The study performs value chain analysis of organic pineapple in Cachar district of Assam, India for the year January 2022–January 2023. Future studies are encouraged related to various aspects of the supply chain and value chain of organic pineapple from various northeastern states of India and other states.

The study will help policymakers and key actors to know the existing chain and frame a well-coordinated and regulated value chain.

This study is one of the first study to explore the value chain of organic pineapple of Cachar district of Assam, India. Implementation of these findings can help various actors to strengthen the existing value chain.