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The purpose of this study is to investigate the factors affecting supplier selection in food and beverage divisions in the Greek hotel industry. This research aimed to (1) examine the factors affecting supplier selection in food and beverage divisions of the Greek hotel industry, as these were perceived by the Greek purchasing managers themselves; (2) investigate the underlying factors when changing a supplier.

A survey was conducted using a closed-ended type questionnaire. Data collection met the following three criteria: hotels with a fully operational food and beverage division could participate in the research, the research population comprised all the hotels located in 13 regions of Greece, the sample represented over 10% of the total hotels in each region. Finally, 653 valid questionnaires were collected.

Exploratory factor analysis showed that six broad sets of factors affect supplier selection in the food and beverage divisions: those related to raw materials, financing, environment, services, origin-nutrients and people. Regarding the factors considered in changing a supplier, three factors were found: service and product quality, economic policy change, food quality and safety management systems.

Greek hotel managers could use the findings of the study to effectively create a supply chain management strategy that will lead to improved firm performance. Understanding the importance of the selection criteria for the supply chain performance and the need to build strong relationships with stakeholders, suppliers could also create a proper supply chain.

The study adds to the knowledge regarding the perspectives of the Greek purchasing managers in food and beverage divisions in hotel industry and the body of much-needed research. Using exploratory factor analysis, a sort of grouping of the variables seems beneficial for simplifying how to present and understand the factors affecting supplier selection in food and beverage divisions within the Greek context.

This study aims at determining the influence of the competitive strategy types and organizational structure dimensions on Cost of Quality (CoQ) in Food and Beverage (F&B) small- and medium-sized enterprises (SMEs).

A survey questionnaire was sent to F&B companies in Greece and 307 responded positively and fully completed the questionnaire. The research model developed (consisting of the competitive strategy types, the organizational structure dimensions and CoQ) was tested using the exploratory and confirmatory factor analyses and the structural equation modeling (SEM) technique.

The findings indicated that cost leadership, centralization and formalization influence the CoQ positively and significantly. By contrast, differentiation does not influence CoQ.

The small sample of the responding companies operating in one country, the different F&B sub-sectors, the subjective perceptions of only one representative per company and the cross-sectional nature of the study are the main limitations of the present study.

This paper provides academicians and practitioners with a better understanding of the factors that influence the quality-cost level.

To the best of the authors' knowledge, this is the first study that examines the effect of competitive strategy and organizational structure on CoQ.

Food manufacturing companies which are essential for national economies, need to attach importance to the adoption of both the lean manufacturing (LM) operational excellence methodology and the Industry I4.0 (I4.0) technologies that empower LM to achieve operational improvement. This study aims to focus on the Greek food manufacturing companies and determine the degree of implementation of LM practices and I4.0 technologies and the impact of I4.0 on LM.

A survey was conducted based on a structured questionnaire which included items reflecting LM practices and I4.0 technologies. A sample of Greek food manufacturing companies were approached and 102 of them fully completed the questionnaire. Descriptive statistics were applied to determine the degree of implementation of LM practices and I4.0 technologies, while the impact of I4.0 on LM was determined through the linear regression analysis.

The degree of implementation of LM practices in the responding food manufacturing companies is high, while the degree of implementation of I4.0 technologies is low to medium. The findings also support a significant and positive impact of I4.0 on LM.

The small size of the sample of the responding Greek food manufacturing companies, the subjective character of the data collected and the cross-sectional nature of the study, constitute the main limitations of the study. Based on these limitations, further studies can be designed.

The present study findings can guide the managers of the food manufacturing companies to further increase the degree of implementation of LM practices through adopting I4.0 technologies. Therefore, they can improve quality, eliminate waste, survive and be more competitive in the current difficult business environment. Academics can also benefit from the present study, given that it provides the LM practices and I4.0 technologies that can be further tested and validated in the food sector.

To the best of the authors’ knowledge, this is the first study that focuses on LM and I4.0 in the Greek food manufacturing companies operating in a business environment where the crises of finance, energy and the Covid-19 pandemic dominate.

This study aims to evaluate the issue of household food waste in Greece, with an emphasis on assessing the level of awareness and key behaviours among consumers. Moreover, the study focuses on examining consumer behaviours related to food waste and identifying distinct consumer profiles that can provide valuable insights into the issue in order to uncover unique behavioural factors and offer targeted interventions to curb food waste in the country.

A nationwide survey was conducted in Greece using a structured online questionnaire, which was sent to 1,270 participants, through the snowball technique. However, due to some incomplete responses, only 1,238 of the responses were considered suitable for analysis. Common descriptive statistics were used to sketch the respondents' profiles, and a non-hierarchical K-means cluster analysis was performed to identify distinct subgroups in the sample.

The study revealed a significant level of food waste awareness among Greek consumers. The cluster analysis identified four distinct consumer groups and substantial differences among them. Notably, sociodemographic analysis underscored a pronounced inclination towards food wastage among younger individuals. Additionally, each cluster's attributes, including their environmental awareness, shopping behaviours meal-planning tendencies and propensity for excess purchases, were examined. Consequently, this study underscored the imperative for targeted informational campaigns tailored for consumer segmentation, offering a pathway to identify prospective interventions conducive to the promotion of sustainable food-consumption practices.

The originality and value of this work lie in its unique focus on addressing the significant issue of household food waste within the context of Greece. What sets this study apart is the application of non-hierarchical K-means cluster analysis (which allowed the authors to identify distinct consumer profiles), a method not widely utilised in the Greek context. By filling this knowledge gap, this study offers crucial insights that can inform targeted interventions aimed at reducing food waste, in alignment with global sustainability initiatives such as the United Nations Agenda 2030 and the European Union's “Farm to Fork” strategy. Additionally, this study contributes to the efforts to provide innovative solutions to prevent household food waste and foster a sustainable future in an ever-changing international environment marked by various crises

I seek to identify whether cash flow management can affect the performance and risk of the Greek listed companies.

This study examines the relationship of cash flow management with performance and risk, using a sample of 80 non-financial companies listed in the Athens Exchange. The study covers the period 2018–2022, and panel data analysis is applied. Both financial performance and stock return are taken into consideration, while risk concerns the volatility of the companies’ share prices. The various explanatory variables used include the net cash flow, free cash flow, cash conversion cycle days, cash flow from operating activities, cash flow from investing activities, cash flow from financing activities, inventory days, customer days and supplier days.

The empirical results provide evidence of a positive relationship between financial performance and net cash flow and free cash flow. In addition, operating cash flow is positively related to financial performance. The opposite is the case for investing and financing cash flow. Finally, some evidence of a negative relationship between financial performance and inventory and customer days is provided too. On the other hand, stock return and risk are not related to the cash flow management variables at all.

To the best of my knowledge, this is one of the few studies to examine the relationship of cash flow management with performance and risk, using data from the Greek stock market. The results can form an effective selection tool for investors seeking Greek companies with the highest financial performance potential, which may reward them with higher dividends.

The purpose of this study is to investigate the impact of big data (BD) analytics capabilities (BDACs) on green supply chain integration (GSCI) and green innovation (GI) in the context of a developing country, Jordan. In addition, the mediating effect of GSCI on the relationship between BDAC and GI is investigated.

Data collection was carried out through a survey with 300 respondents from food and beverages manufacturing firms located in Jordan. Partial least squares-structural equation modeling (PLS-SEM) technique was applied to analyze the collected data. Natural resource-based view (NRBV) theory was the adopted theoretical lens for this study.

The results revealed that BDAC positively and significantly affects both GSCI and GI. In addition, the results demonstrated that GSCI positively and significantly affects GI. Further, it is also found that GSCI positively and significantly mediates the relationship between BDAC and GI.

This study developed a theoretical and empirical model to investigate the relationship between BDAC, GSCI and GI. This study offers new theoretical and managerial contributions that add value to the supply chain (SC) management literature by testing the mediation model in food and beverages manufacturing firms located in Jordan.

This study examines the performance of India's food processing sector by estimating its output growth, technical efficiency (TE) and input-driven growth (IDG)

This study used panel data from six food processing manufacturing industries for the period 2000–01 to 2017–18. Technical efficiency and input-driven growth was measured using the parametric half-normal stochastic frontier production function.

The findings of this study showed that the estimated average technical efficiency is 86.6%, which specifies that the Indian food processing sector is technically inefficient. In addition, the output growth rate is 5.5%, driven by high doses of inputs (5.7%), whereas there is no indication of constant returns to scale. However, the food processing sector has experienced more input-driven expansion than either technological or efficiency changes.

This study is limited to India's organized manufacturing food processing sector; the aggregate macro data at a three-digit level based on the national industrial classification (NIC) was used. This study provides robust estimates for industrialists and processors, as well as concrete policy formulations on how overdoses of inputs may lead to high exploitation of resources, whereas outputs can be augmented by implementing upgraded and new technologies.

Previous research has estimated the total factor productivity and technical efficiency only in order to analyze the food sector's performance, but none of the studies have evaluated the share of inputs in growth performance and efficiency. Therefore, this study contributes by measuring growth performance and the share of inputs in the growth performance of India's food processing sector.

The purpose of this study is to build a theory on management investigating the relationship between organizational culture and strategic flexibility in firms, and how this relationship is affected through industry 4.0 capabilities and the market orientation of firms.

As a methodological approach, this paper uses a rich combination of literature review and exploratory interviews with managers and academics. Data were collected from 379 industrial managers; confirmatory factor analysis (CFA) and finally structural equation modeling (SEM) were performed to validate the data and examine the hypothesized relationships.

The results show that organizational culture drives firms to strategic flexibility, but the introduction of industry 4.0 capabilities and market orientation fully mediate this relationship, revealing their significance to strategic flexibility.

All the respondents of the study's dataset were from Greek firms; the role of national culture should be considered. Moreover, the comprehension of I4.0 is a quite recent concept that is still being formulated, this feature may modify the results of future studies.

Managers should allocate resources for the concurrent adoption of digital technologies capabilities and suitable market-oriented strategies in order for them to be key drivers for enhanced strategic flexibility.

The current state of knowledge of both theory and practise for critical organizational factors such as organizational culture, strategic flexibility, industry 4.0 capabilities and market orientation will be extended.

The purpose of this paper is to examine how small and medium enterprises (SMEs) within an entrepreneurial community engage in cross-promotion on social media via Facebook. This paper specifically examines how SME community members leverage their horizontal and vertical ties to generate publicity, improve brand perceptions and drive traffic to themselves or community events.

This paper uses a qualitative approach, examining 1,025 Facebook posts from 27 members of an entrepreneurial community in the southeast USA to develop typologies of posting strategies, post purposes and post functions.

This paper finds that in the entrepreneurial community of interest, many members engage in cross-promotion via social media at various frequencies and with distinctive purposes. This paper identifies five distinct patterns of cross-promotion – quality signaling, traffic driving, community amplifying, hybrid cross-promotion and infrequent engagement. This paper also notes differences between cross-promotional strategies of vertical and horizontal partners.

This paper advances understanding of social media marketing and identifies key patterns of SME social media behavior. Although previous research has noted the importance of social media for SMEs, there has been little research regarding posting strategies being used by these firms. Further, to this point, there has not been a framework to understand how firms can use social media to cross-promote one another. This paper seeks to begin filling these gaps by providing a useful framework that can be used by SMEs in coordinating their social media posting strategies as well as by researchers studying SME cross-promotion.