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Due to the recent disruptions caused by COVID-19, global supply chains are stress tested. The affected supply chains have interfered with market tonnage prices for the yield of perishable products like mangoes that are highly dependent on their quality. This research, through empirical findings, thus determines and comprehends the factors influencing mango quality (size).

A framework is developed for finding the potential factors of quality building on the previous literature and studies on the available topic. The data collection included face-to-face interviews comprising 240 farmers, hired managers and preharvest contractors in India's Jangaon, Rangareddy and Yadadri Bhuvanagiri districts of Telangana state. The data analysis is done using multiple regression, and the outcomes form the basis of the design of the experiments model.

The empirical insights support that the quality of mango is affected by factors such as the number of picking cycles, the cost of fertilizer, the variety of fertilizers used, the variety of pesticides used and pesticide application frequency. The direct implications are the benefit to farmers in improving mango quality and maximizing profit per yield cycle.

To the best of the authors’ knowledge, the first research that has specifically focused on holistically improving the quality(size) of mangoes.

The findings contribute to the perishable supply chain literature, specifically to the mango study, to comprehensively showcase the factors impacting the quality of mangoes and provide guidance to farmers regarding orchard practices.

ChatGPT is a versatile technology with practical use cases spanning many professional disciplines including marketing. Being a recent innovation, however, there is a lack of academic insight into its tangible applications in the marketing realm. To address this gap, the current study explores ChatGPT’s application in marketing by mining social media data. Additionally, the study employs the stages-of- growth model to assess the current state of ChatGPT’s adoption in marketing organizations.

The study collected tweets related to ChatGPT and marketing using a web-scraping technique (N = 23,757). A topic model was trained on the tweet corpus using latent Dirichlet allocation to delineate ChatGPT’s major areas of applications in marketing.

The topic model produced seven latent topics that encapsulated ChatGPT’s major areas of applications in marketing including content marketing, digital marketing, search engine optimization, customer strategy, B2B marketing and prompt engineering. Further analyses reveal the popularity of and interest in these topics among marketing practitioners.

The findings contribute to the literature by offering empirical evidence of ChatGPT’s applications in marketing. They demonstrate the core use cases of ChatGPT in marketing. Further, the study applies the stages-of-growth model to situate ChatGPT’s current state of adoption in marketing organizations and anticipate its future trajectory.

This paper aims to examine the effect of social disruption on the use of technologies for digitizing business-to-business (B2B) processes. The aim is to assess how digitalization technologies (DT) may impact corporate performance (CP) in B2B settings.

The methodology is based on a questionnaire survey in Norway, and a deductive research design. A total of 216 usable questionnaires out of 356 were returned, generating a response rate of 60.6%.

This study shows that there is an effect of social disruption on DT (such as digital communication tools, social media and customer relationship management systems) in B2B settings that may impact CP.

This study indicates that the use of technologies to digitize B2B processes may enhance CP when social disruption occurs.

This study offers insights to companies that need help in adapting their business processes to the changing social and technological environment. This study also highlights the importance of digitalization for business survival in the marketplace and society.

This study sheds light on the effect of social disruption on DT and provides opportunities for managing CP.

The purpose of this study was to examine the global perceptions of social equity in the fine dining business model as a result of the surprise announcement for the 2024 planned closure of the Michelin three-star restaurant, Noma.

This study used critical discourse analysis to inductively analyze 91 source documents retrieved through a lexical database search. The analysis yielded five overarching themes and six subthemes.

Findings from this study serve as a benchmark in retrospect for capturing a rapidly accelerating global conversation from January to March 2023 around the long-term viability and social sustainability of the fine dining business model.

Against the backdrop of labor challenges in the restaurant industry due to the Covid-19 pandemic and its aftermath, the announced closure of Noma precipitated criticism of the stage (unpaid intern) system and the intense pressures of attaining and maintaining Michelin star status.

Results from the discourse analysis suggest certification for fine dining restaurants, perhaps through the Michelin Guide, for demonstrating a commitment to social sustainability as a qualifier to achieve a Michelin star.

Findings from this research reveal a palpable change in societal tolerance for a more socially sustainable fine dining restaurant business model that advances equitable solutions for its workers while assuring the economic sustainability of restaurants.

This study drew upon a foodscape lens to reveal a juxtaposition between well-executed environmentally sustainable initiatives in the fine dining business model and the threats to the social sustainability among its workers.

The government of Ghana since independence has undertaken steps to develop educational infrastructure setup. This notwithstanding, the educational sector is beset with challenges such as low-quality education and low enrolment rates in Senior High Schools (SHS) of children from large households, among others. Given the myriad of challenges bedevilling the education sector, there have been calls for collaboration among public leaders to promote education. The paper, therefore, examines traditional leaders' roles in promoting quality education in Ghana.

Through a desk review approach, the study examines the role of traditional leaders in promoting quality education in Ghana. This approach was adopted due to its flexible nature.

The study found that traditional leaders have provided educational materials and resources to deprived schools. They have established scholarship schemes for needy but brilliant students, promoted gender parity in education, constructed educational facilities and promoted a healthy teaching environment.

The paper provides stakeholders in Ghana’s educational sector with the opportunity to review educational policies and include traditional leaders to influence educational policies. The recommendations call for support from the GETFUND and Scholarship Secretariat of Ghana to assist community-initiated projects and scholarship schemes established by traditional leaders.

The paper provides evidence to support the importance of traditional leadership, which has come under criticism from a democratisation perspective in contemporary times.

This scoping review aims to explore how “food media”, “food messages” and “food content” are referred to in scholarly writing to enhance a shared understanding and comparability.

Following the PRISMA, ScR-guidelines, four scientific databases were screened on published manuscripts in academic journals, books and doctoral theses mentioning food media, content and messages within the prevalent meaning as in human communication.

Of the 376 included manuscripts, only a small minority (n = 7) provided a conclusive definition of at least one of the three earlier-mentioned concepts; 40 others elucidated some aspects of food media, messages or content; however, they emphasized different and, sometimes even, contrasting aspects. In addition, the review explores in which disciplines the manuscripts mentioning food media, messages or content occur, which methodologies are used and what target groups and media are most common.

Based on this aggregated information, a definition of food media, messages and content is proposed, aiming to enhance the comparability of diverse academic sources. This contribution invites scholars to critically reflect on the included media and content types when comparing studies on food media, messages or content.

This study aims to examine the influence of the talent management (TM) process on employee ambidexterity (EA) and the moderating role of learning organizations in Indian IT and ITes organizations.

The study is descriptive and based on empirical data from 390 IT and ITES employees from India. Data were collected using three valid and reliable questionnaires. Data were analysed using partial least squares structural equation modelling.

The findings show that the TM process significantly impacted EA. The moderating effects of the four dimensions of learning organization (LO) on the relationship between the TM process and EA were also noteworthy, even though no direct association was found to be significant. Regarding demographic variables, male and female employees do not vary considerably in their perception of TM process and EA in LO.

The study’s novelty lies in creating and discussing a synthesis of exploration and exploitation stemming from EA in learning organization.

Knowledge sharing in online health communities (OHCs) disrupts consumers' health information-seeking behavior patterns such as seeking health information and consulting. Based on social exchange theory, this study explores how the two dimensions of experts' free knowledge sharing (general and specific) affect customer transactional and nontransactional engagement behavior and how the quality of experts' free knowledge sharing moderates the above relationships.

We adopted negative binomial regression models using homepage data of 2,982 experts crawled from Haodf.com using Python.

The results show that experts' free general knowledge sharing and free specific knowledge sharing positively facilitate both transactional and nontransactional engagement of consumers. The results also demonstrate that experts' efforts in knowledge-sharing quality weaken the positive effect of their knowledge-sharing quantity on customer engagement.

This study provides new insights into the importance of experts' free knowledge sharing in OHCs. This study also revealed a “trade-off” between experts' knowledge-sharing quality and quantity. These findings could help OHCs managers optimize knowledge-sharing recommendation mechanisms to encourage experts to share more health knowledge voluntarily and improve the efficiency of healthcare information dissemination to promote customer engagement.

Online health question-and-answer (Q&A) forums have developed a new business model whereby listeners (peer patients) can pay to read health information derived from consultations between askers (focal patients) and answerers (physicians). However, research exploring the mechanism behind peer patients' purchase decisions and the specific nature of the information driving these decisions has remained limited. This study aims to develop a theoretical model for understanding how peer patients make such decisions based on limited information, i.e. the first question displayed in each focal patient-physician interaction record, considering argument quality (interrogative form and information details) and source credibility (patient experience of focal patients), including the contingent role of urgency.

The model was tested by text mining 1,960 consultation records from a popular Chinese online health Q&A forum on the Yilu App. These records involved interactions between focal patients and physicians and were purchased by 447,718 peer patients seeking health-related information until this research.

Patient experience embedded in focal patients' questions plays a significant role in inducing peer patients to purchase previous consultation records featuring exchanges between focal patients and physicians; in particular, increasingly detailed information is associated with a reduced probability of making a purchase. When focal patients demonstrate a high level of urgency, the effect of information details is weakened, while the interrogative form is strengthened.

The originality of this study lies in its exploration of the monetization mechanism forming the trilateral relationship between askers (focal patients), answerers (physicians) and listeners (peer patients) in the business model “paying to view others' answers” in the online health Q&A forum and the moderating role of urgency in explaining the mechanism of how first questions influence peer patients' purchasing behavior.

Growing food insecurity is a leading cause of fatalities, particularly in developing nations like Sub-Saharan Africa and Southeast Asia. However, the rising energy consumption and carbon dioxide (CO2) emissions are mostly associated with food production. Balancing the trade-offs between energy intensity and food security remains a top priority for environmentalists. Despite the critical role of the environment in food security, there is a scarcity of substantial studies that explore the statistical connections among food security, CO2 emissions, energy intensity, foreign direct investment (FDI) and per capita income. Therefore, this study aims to provide more precise and consistent estimates of per capita CO2 emissions by considering the interplay of food security and energy intensity within the context of emerging economies.

To examine the long-term relationships between CO2 emissions, food security, energy efficiency, FDI and economic development in emerging economies, this study employs correlated panel-corrected standard error, regression with Newey–West standard error and regression with Driscoll–Kraay standard error models (XTSCC). The analysis utilizes data spanning from 1980 to 2018 and encompasses 32 emerging economies.

The study reveals that increasing food security in a developing economy has a substantial positive impact on both CO2 emissions and energy intensity. Each model, on average, demonstrates that a 1 percent improvement in food security results in a 32% increase in CO2 levels. Moreover, the data align with the Environmental Kuznets Curve (EKC) theory, as it indicates a positive correlation between gross domestic product (GDP) in developing nations and CO2 emissions. Finally, all experiments consistently demonstrate a robust correlation between the Food Security Index (FSI), energy intensity level (EIL) and exchange rate (EXR) in developing markets and CO2 emissions. This suggests that these factors significantly contribute to environmental performance in these countries.

This study introduces novelty by employing diverse techniques to uncover the mixed findings regarding the relationship between CO2 emissions and economic expansion. Additionally, it integrates energy intensity and food security into a new model. Moreover, the study contributes to the literature by advocating for a sustainable development goal (SDG)-oriented policy framework that considers all variables influencing economic growth.