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As per the vision of promoting agricultural collectives, the government of India promoted the farmer producer organization (FPO). However, with the fast growth of FPOs, there is an issue with performance measurement. This study is aimed at the development of performance metrics for the FPOs.

In the first stage, we selected the measures from a secondary literature review and identified 11 parameters. Further, the Delphi round was conducted in the second stage with 26 experts working with FPOs and they were asked to rank these parameters. Based on the weightage of each parameter, the most important parameters were decided. The mean ranks and deviations of the performance parameters were analyzed. The hypothesis test and Kendall’s coefficient of concordance have been further used to validate the performance parameters. In the third stage, based on the inputs from the experts, a questionnaire was designed, and the data was collected from chief executive officers (CEOs) of the FPOs to identify the most important performance parameters.

The experts identified governance, financial support and professional management as important measures for FPOs. In the second round of the study, finance and governance were identified as the most important factors. It is important to note that finance and governance were the two most important factors in making an FPO successful. Finally, a 100-point metric was developed in seven major heads.

This study will be advantageous for all the stakeholders involved in the promotion of FPOs, including FPOs themselves, funding agencies providing funds to FPOs, skill-building organizations, etc.

This paper is one of its kind to develop a 100 points metrics for performance evaluation of FPOs.

This paper aims to examine the low-cost carriers (LCC) impact on the high-quality carriers (HQC) in the aviation industry. The impact of LCCs on high-quality producers in the aviation industry has been a significant and multifaceted phenomenon.

The study employs a captivating case study approach, investigating into the intricate fabric of the subject matter. Interviews serve as the cornerstone of primary evidence, offering first-hand insights, while secondary data sourced from documents adds depth to the exploration of the challenges encountered by the HQC.

The study concludes that LCCs have disrupted the traditional aviation landscape by offering low fares, simplified service models and aggressive cost-cutting strategies. This disruption has affected both the high-quality producers, such as full-service airlines. Full-service airlines have adopted a strategy of segmenting their market by offering multiple fare classes, with varying levels of service and flexibility. This allows them to target both price-sensitive travelers and those seeking premium services, catering to a broader customer base. The competition from LCCs has spurred innovation within the aviation industry, leading to advancements in technology, digital services and operational efficiency. Airlines, both LCCs and traditional carriers, have had to adapt to evolving consumer preferences and embrace digital solutions for booking, check-in and in-flight services.

While this study provides a valuable cost-benefit analysis of the impact of LCC on high-quality producers in the aviation industry, it is essential to acknowledge its limitations and recognize the avenues for future research to further enhance our understanding of this complex and evolving industry landscape. While this study contributes valuable insights into the impact of LCCs on high-quality producers in the aviation industry, it is essential to recognize its limitations and identify opportunities for future research to expand our understanding of this complex and dynamic landscape. By addressing these limitations and exploring new avenues of inquiry, we can continue to advance our knowledge and inform evidence-based decision-making within the industry.

This study pioneers an exploration into the intricate tapestry of factors molding the future of the aviation sector. Through its groundbreaking analysis, it furnishes indispensable insights for industry stakeholders, policymakers and the discerning traveling public, setting a new benchmark for understanding and navigating the aviation landscape.

This study aims to examine the role relational dynamics, grounded in the theories of social exchange and social capital, play within the context of geographic indication (GI) food supply chain network (FSCN) performance.

A total of 30 qualitative interviews were undertaken with key informant stakeholders across a variety of organizations within Turkish GI FSCNs. An open, axial and selective grounded theory coding process was used for the analysis, teasing out critical themes that underpinned the conceptual framework.

The findings identify the formal and informal mechanisms which govern GI FSCNs. These two forms of governance mechanisms influence network performance, which was found to comprise logistics, production, business and socio-economic performance dimensions. Transparency, GI traceability, trust and psychological contract violations were found to mediate the link between governance and network performance outcomes.

To the best of the authors’ knowledge, this study is the first to explore GI FSCNs from the perspective of relationship marketing and through the lens of social exchange and social capital theory. Accordingly, both academics and practitioners can benefit from the study, as it unveils relevant relational factors underpinning such networks.

This study examines co-production during the Covid-19 crisis, characterized as a Black Swan event, with a specific emphasis on local professionals’ preparedness and response.

A qualitative approach combining deductive and inductive approaches was employed to gather data from professional coordinators of co-production processes in Israeli local governments. The study utilizes professionalism theory as a framework to examine such key elements as professional knowledge, autonomy, status and legitimacy. Additionally, open coding is used to investigate emerging themes.

The findings reveal that, despite preventive efforts by the central government, local professionals were unprepared to address the crisis. Traditional top-down approaches failed during the crisis, emphasizing the need for peer learning and collaboration among various stakeholders. Professionals' de facto autonomy, driven by quick decision-making and creative problem-solving, elevated their legitimacy and status. Inter- and intra-organizational collaboration was essential to maintain performance through co-producing public services. Finally, multicultural awareness proved vital; neglecting this may have severe consequences in routine times but especially during crises.

Using qualitative research, this study emphasizes the importance of understanding context in interpreting thoughts and actions. However, our approach has limitations. We collected data at a single point in time, which may not capture changes over time. Additionally, we relied on self-reporting from 19 public professionals in local municipalities, each managing the coproduction-based center within the respective municipality. However, this setup, where a single coordinator represents the entire co-production function of the municipality, has its limitations as only one voice is heard.

By shedding light on the multifaceted aspects of co-production, policymakers and professionals could learn about such substantial factors as professionals’ autonomy, inter-organizational collaborations and sensitivity to cultural nuances, which should be established first and foremost in routine times to prepare for crisis. In our case study, governmental preventive measures were inapplicable to crises, and experience of prior crises did not necessarily bestow an ability to prepare accordingly. This is where the role of the street-level professionals becomes significant: these are the actors who experience the crisis on the ground and may provide a quick and effective response. Their ability to take the reins, to be innovative and to generate knowledge while exerting their own professional consideration, proved extremely important.

This research contributes to our understanding of public service professionals’ effective leveraging of the contributions of co-producers in times of crisis. It shifts focus from top-down policy preparedness and implementation to the development of appropriate organizational structures and active and routine stakeholder engagement, thereby enhancing preparedness for crises.

This study aims to explore why Chinese consumers pay for digital content products by investigating the experiences of Chinese consumers living in first-tier and second-tier cities regarding paid digital knowledge products.

A total of 19 in-depth interviews were conducted to collect data, and the phenomenological reduction was adopted to analyze data.

This study reveals that Chinese consumers use paid digital knowledge products to alleviate stress and anxiety stemming from real-life competition and the fear of falling behind. While consumers acknowledge the limited assistance that paid knowledge products can offer, their acceptance and expectations of paid digital knowledge products remain positive.

Paid digital knowledge represents an innovative phenomenon, with few scholars outside China having studied it. This study contributes a conceptual framework to understand the motivations of Chinese consumers with high purchasing power residing in first-tier and second-tier cities to invest in digital content.

This study aims to explore how sustainable business models (SBM) can be developed within agri-innovation systems (AIS) and emphasize an integration of the two with a systemic understanding for reducing food loss and value loss in postharvest agri-food supply chain.

This study conducted longitudinal qualitative research in a developing country with food loss challenges in the postharvest supply chain. This study collected data through multiple rounds of fieldwork, interviews and focus groups over four years. Thematic analysis and “sensemaking” were used for inductive data analysis to generate rich contextual knowledge by drawing upon the lived realities of the agri-food supply chain actors.

First, this study finds that the value losses are varied in the supply chain, encompassing production value, intrinsic value, extrinsic value, market value, institutional value and future food value. This happens through two cumulative effects including multiplier losses, where losses in one model cascade into others, amplifying their impact and stacking losses, where the absence of data stacks or infrastructure pools hampers the realisation of food value. Thereafter, this study proposes four strategies for moving from the loss-incurring current business model to a networked SBM for mitigating losses. This emphasises the need to redefine ownership as stewardship, enable formal and informal beneficiary identification, strengthen value addition and build capacities for empowering communities to benefit from networked SBM with AIS initiatives. Finally, this study puts forth ten propositions for future research in aligning AIS with networked SBM.

This study contributes to understanding the interplay between AIS and SBM; emphasising the integration of the two to effectively address food loss challenges in the early stages of agri-food supply chains. The identified strategies and research propositions provide implications for researchers and practitioners seeking to accelerate sustainable practices for reducing food loss and waste in agri-food supply chains.

This study aims to investigate the interplay between environmental concerns, consumer attitudes and their influence on sustainable practices within the craft beer industry, exploring how consumers’ perception of environmental attributes impact their purchase intentions regarding craft beer.

The study used a quantitative approach, using a self-administered survey instrument comprised 28 Likert-scale items. Data was gathered from a convenience sample of 319 craft beer consumers. Confirmatory factor analysis was conducted to assess the measurement model’s validity and reliability. Subsequently, partial least squares structural equation modeling was used to test the hypothesized relationships.

This study’s findings challenge established notions within the field, demonstrating that water conservation, carbon footprint reduction, organic farming and local sourcing practices hold significant influence on consumers’ purchase intentions regarding sustainable craft beer. These findings depart from previous research that suggested a less pronounced impact of specific sustainability practices on consumer behavior.

This study contributes to the literature by revealing consumer insights into the environmental implications of craft beer choices, empowering them to make informed purchasing decisions aligned with their sustainability values. However, acknowledging potential limitations, sample size and demographic composition (young adults in Brazil) potentially impact the generalizability of the findings.

This study addresses the understanding of consumer attitudes and priorities regarding environmental sustainability within the craft beer industry. By focusing on the tangibility of specific sustainable attributes the research shows how these practices influence consumer perceptions and purchasing intentions.

This study aims to revisit the empirical debate about the asymmetric relationship between oil prices, energy consumption, CO₂ emissions and economic growth in a panel of 184 countries from 1981 to 2020.

A relatively new research method, the PVAR system GMM, is applied.

The outcome of the PVAR system GMM model at the group level in the study suggests that oil prices exert a positive but statistically insignificant effect on economic growth. Energy consumption is inversely related to economic growth but statistically significant, and the correlation between CO₂ emissions and economic growth is negative but statistically insignificant. The Granger causality test indicates that oil prices, CO₂ emissions, oil rents, energy consumption and savings jointly Granger-cause economic growth. A unidirectional causality runs from energy consumption, savings and economic growth to oil prices. At countries’ income grouping levels, oil prices, oil rent, CO₂ emissions, energy consumption and savings jointly Granger-cause economic growth for the high-income and upper-middle-income countries groups only, while those variables did not jointly Granger-cause economic growth for the low-income and lower-middle-income countries groups. The modulus emanating from the eigenvalue stability condition with the roots of the companion matrix indicates that the model is stable. The results support the asymmetric impacts of oil prices on economic growth and aid policy formulation, particularly the cross-country disparities regarding the nexus between oil prices and growth.

From a methodological perspective, to the best of the author’s knowledge, the study is the first attempt to use the PVAR system GMM and such a large sample group of 184 economies in the post-COVID-19 era to examine the impacts of oil prices on countries’ growth while controlling for other crucial variables, which is noteworthy. Two, using the World Bank categorisation of countries according to income groups, the study adds another layer of contribution to the literature by decomposing the 184 sample economies into four income groups: high-income, low-income, upper-middle-income and lower-middle-income groups to investigate the potential for asymmetric effects of oil prices on growth, the first of its kind in the post-COVID-19 period.

In the context of rewards-based crowdfunding, this study aims to examine the role of project backers as providers of knowledge inputs beyond just financial capital.

This study uses binomial regression to study the relationship between project creators’ and backers’ knowledge sharing, and the relationship of these two knowledge-sharing elements with achieving above-goal funding levels.

This study finds that the project creator’s knowledge sharing is significantly and positively related to backers’ knowledge sharing and that this relationship is moderated by the type of project. Furthermore, backers’ knowledge sharing is positively related to above-goal funding outcomes for a project.

This study established the link between creators’ and backers’ knowledge sharing in rewards-based crowdfunding, which has been underexplored in the literature. This study’s direct attention to the role of knowledge as a key resource in rewards-based crowdfunding and crowdsourcing in general.

For entrepreneurs seeking crowdfunding, this study highlights the importance of knowledge sharing with their project backers to attain above-goal funding. Furthermore, eliciting backers’ knowledge input acts as a signaling mechanism that increases the crowd’s confidence in the project. It also endows entrepreneurs with knowledge resources that can improve project outcomes and achieve broader market success postcrowdfunding.

To the best of the authors’ knowledge, this study is one of the first to focus on knowledge content as a critical element in project backer-creator communication in rewards-based crowdfunding. This study also delineate the various knowledge types shared between the project creator and backers in both rewards-based crowdfunding projects.

This paper presents the determination of the maximum power point of a bifacial photovoltaic (PV) system using two different cell models. The optimal power point is determined by using genetic algorithm (GA), as an optimisation tool. The purpose of this paper is to find which of the two analysed models gives better results in the determination of the maximum power point of a bifacial PV system for different solar irradiations. The quality of the results gained from both models is analysed based on the value of the objective function.

In this research work, the maximum power point of bifacial PV modules is determined by using two different PV cell models, such as the simplified and two-diode models of PV cells. Based on the input electrical data for the analysed bifacial PV module as well as the mathematical model of the two PV cell presentations, the values for the current and the voltage at the maximum power point for a given solar irradiation and working temperature are determined by the algorithm for each solution in the population and generation.

From the presented results and the performed analysis, it can be concluded that GA is quite appropriate for this purpose and gives adequate results for both models and for all working conditions. The two-diode model was found to be more suitable compared with the simplified model due to its complexity. Therefore, although the power difference for each of the scenarios for the two compared models does not differ significantly among the two models, it is in favour of the two-diode model. Which implicates that the for fast and simple calculation the simplified model can also do the job.

This approach can be very successfully applied in the design process of a PV plant to forecast the output characteristics of the PV system if there is enough information about the weather conditions for a given location. This procedure can be very helpful in the process of selection of right PV module and inverter for a given location.

An optimisation technique using GA as an optimisation tool has been developed and successfully applied in the determination of the maximum power point for a bifacial PV module using to different models of solar cell. The results are compared with the analytically determined values as well as with the values given from the producer and they show good agreement.