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The purpose of this paper is to examine the corporate social responsibility performance among small and medium enterprise (SME) owners in the United Arab Emirates (UAE) before and during COVID-19. This study shows insights into the barriers that could affect the CSR performance practices of UAE SMEs, and related implications are discussed in the study.

This study used a longitudinal qualitative research design. The research comprised 30 interviews from 15 SME owners that were studied prior to and during the pandemic. The 15 interview participants are the sole owners of these SMEs and are Emirati citizens. They were identified through personal contacts and referrals.

Study findings show that there was a clear shift during the pandemic to place more focus on employees. CSR performance practices are dominated by strategies for caring for the environment and employees. During the pandemic, the priority was paying employees at least a portion of their salary despite financial hardships and ensuring their health and well-being. Prior to the crisis, the key barrier to the implementation of CSR performance practices was a lack of knowledge. During the pandemic, barriers identified included uncertainty and financial constraints. Furthermore, all the owners believe that big corporations should be more socially responsible and SMEs should be the recipients of CSR practices. Lastly, the owners expressed their belief in the values of transparency, integrity, commitment, efficiency and responsibility.

This study is a novel attempt to gain an in-depth understanding of CSR among SMEs in the UAE in the context of a pandemic. It looks specifically at the performance practices pursued by SME owners in the UAE before and during the COVID-19 crisis.

The motivation for this paper is to provide a deeper understanding of some of the important and trending topics in the sport industry. Besides this, to consider the changing landscape of ownership, strategies and organisation of several types of sports in the contemporary environment, there is a need for deeper contextual knowledge of how different sport/s, leagues, clubs, associations, teams etc. own, organise and strategise at local to national to regional to international contexts.

This paper introduces the special issue on the sport industry that welcomes three interesting contributions of focusing on the important themes related to the sport industry. They include (1) digital transformation and needed capabilities, (2) fan engagement in a digital way using social media and finally (3) the relevance and relation of social capital in the organisational strategy of sports organisations.

Four generic insights related to the themes and emerging trends in marketisation, ownership and digitalisation strategies in the sport industry are introduced in this paper. The first insight is that sports digitalisation and politicisation significantly impact the strategising, organising and networking activities of sports owners to foster value capture. Secondly, owners’ performance duality of marketisation of their sports clubs and vested business interests unravels the paradoxes of idealism and profit-maximisation. Thirdly, individual sports stars position themselves as an influential platform of value creation through on-field performance, social engagement and self-interests. Finally, the fourth insight is that the dual aims of sporting on-field success and profit making of large capital-funded sports clubs endanger the autonomy and governance of sports bodies/associations and an equitable sporting competition environment.

This paper provides an overview and reflections on the contributions of the papers in this special issue. The papers give different perspectives on how sport has been influenced by the development in society (1) with increasing digitalisation influencing organising of sport clubs and strategies for engaging fans, and (2) the influence of marketisation and politics in ownership strategies. As such, four insightful reflections are developed based on the originality of the contributions and the related extant literature presented on the themes of marketisation, ownership and digitalisation of the sport industry.

This study aims to explore the use of knowledge sharing (KS) in delivering open social innovation (OSI) solutions for sustainable development in the context of economically marginalized, rural societies in India.

The study is guided by an exploratory, qualitative approach using an embedded case study design with four social enterprises. The study approaches the use of KS in three stages of OSI: (1) the stages of ideating and prototyping, (2) the initial stages of experimenting and business development and (3) the more current and future-oriented stages of organizations’ strategies for expanding market opportunities for maximizing impact.

The first stage used KS for collaborative efforts among diverse stakeholders to recognize the needs of marginalized people and ideate suitable ecological solutions. The social enterprises acted as orchestrators in this stage. The second stage involved a more dynamic role of KS in the refinement of social enterprises’ market offerings, generating additional innovations and value propositions, which diversified the scope of the social enterprises. This was facilitated by enterprises’ ability to be open systems, which change and evolve through OSI processes and KS. In the third stage, social enterprises’ use of KS was shifted towards future business development by expanding market opportunities with solutions that tackle complex societal and ecological problems, thereby contributing to sustainable development goals.

The present study contributes to studies on OSI, focusing on sustainable development and the role played by social enterprises operating in rural, economically marginalized areas, which have been an understudied phenomenon in the open innovation literature.

In a volatile agricultural postharvest market, producers require more personalized information about market dynamics for informed decisions on the marketed surplus. However, this adaptive strategy fails to benefit them if the selection of a computational price predictive model to disseminate information on the market outlook is not efficient, and the associated risk of perishability, and storage cost factor are not assumed against the seemingly favourable market behaviour. Consequently, the decision of whether to store or sell at the time of crop harvest is a perennial dilemma to solve. With the intent of addressing this challenge for agricultural producers, the study is focused on designing an agricultural decision support system (ADSS) to suggest a favourable marketing strategy to crop producers.

The present study is guided by an eclectic theoretical perspective from supply chain literature that included agency theory, transaction cost theory, organizational information processing theory and opportunity cost theory in revenue risk management. The paper models a structured iterative algorithmic framework that leverages the forecasting capacity of different time series and machine learning models, considering the effect of influencing factors on agricultural price movement for better forecasting predictability against market variability or dynamics. It also attempts to formulate an integrated risk management framework for effective sales planning decisions that factors in the associated costs of storage, rental and physical loss until the surplus is held for expected returns.

Empirical demonstration of the model was simulated on the dynamic markets of tomatoes, onions and potatoes in a north Indian region. The study results endorse that farmer-centric post-harvest information intelligence assists crop producers in the strategic sales planning of their produce, and also vigorously promotes that the effectiveness of decision making is contingent upon the selection of the best predictive model for every future market event.

As a policy implication, the proposed ADSS addresses the pressing need for a robust marketing support system for the socio-economic welfare of farming communities grappling with distress sales, and low remunerative returns.

Based on the extant literature studied, there is no such study that pays personalized attention to agricultural producers, enabling them to make a profitable sales decision against the volatile post-harvest market scenario. The present research is an attempt to fill that gap with the scope of addressing crop producer's ubiquitous dilemma of whether to sell or store at the time of harvesting. Besides, an eclectic and iterative style of predictive modelling has also a limited implication in the agricultural supply chain based on the literature; however, it is found to be a more efficient practice to function in a dynamic market outlook.