The Perception of the Market and Operational Area of Business by Service Sector and Tourism Companies in terms of CSR implementation

Metzker, Zdenko; Maroušek, Josef; Hlawiczka, Roman; Belás, Jaroslav; Khan, Khurram Ajaz

doi:10.29036/jots.v12i23.328

Cited by 21 publications

(12 citation statements)

References 49 publications

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“…As already mentioned by previous studies, SMEs have lower economic power (Metzker et al, 2021a), lower amount financial resources and assets (Civelek et al, 2020;Kliuchnikava, 2022;Rashed & Ghoniem, 2022), lower number of high quality workers (Hazudin et al, 2022;Siregar et al, 2022), more fragile structure (Civelek & Krajčík, 2022;Dvorsky et al, 2021) that cause them facing with more financial (Civelek et al, 2021;Ključnikov et al, 2021) and exporting problems (Ključnikov et al, 2022), higher costs (Çelik & Çevirgen, 2021;Bittucci et al, 2021;Msomi & Nzama, 2022), when implementing their market and financing decisions into the practice (Dvorský et al, 2020;Kocisova et al 2018;Samanta, 2022). In this regard, investigation of suitable statistical demand forecasting model for both SMEs and large enterprises might create a value addition for the related academic literature.…”

Section: Introductionmentioning

confidence: 54%

Demand forecasting: AI-based, statistical and hybrid models vs practice-based models - the case of SMEs and large enterprises

Kolková¹,

Ključnikov²

2022

Economics &Amp; Sociology

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Demand forecasting is one of the biggest challenges of post-pandemic logistics. It appears that logistics management based on demand prediction can be a suitable alternative to the just-in-time concept. This study aims to identify the effectiveness of AI-based and statistical forecasting models versus practice-based models for SMEs and large enterprises in practice. The study compares the effectiveness of the practice-based Prophet model with the statistical forecasting models, models based on artificial intelligence, and hybrid models developed in the academic environment. Since most of the hybrid models, and the ones based on artificial intelligence, were developed within the last ten years, the study also answers the question of whether the new models have better accuracy than the older ones. The models are evaluated using a multicriteria approach with different weight settings for SMEs and large enterprises. The results show that the Prophet model has higher accuracy than the other models on most time series. At the same time, the Prophet model is slightly less computationally demanding than hybrid models and models based on artificial neural networks. On the other hand, the results of the multicriteria evaluation show that while statistical methods are more suitable for SMEs, the prophet forecasting method is very effective in the case of large enterprises with sufficient computing power and trained predictive analysts.

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Section: Introductionmentioning

confidence: 54%

Demand forecasting: AI-based, statistical and hybrid models vs practice-based models - the case of SMEs and large enterprises

Kolková¹,

Ključnikov²

2022

Economics &Amp; Sociology

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“…The awareness depends on numerous factors and one of the most complicated to predict is informal economy influence, particularly, its impact on labor market uncertainty (Mishchuk et al, 2018;Remeikiene & Gaspareniene, 2021). Therefore, firms must find a mechanism to deal with environmental change, otherwise it will affect their efficiency and competitiveness (Metzker et al, 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

Is flexibility a dual mechanism? Evidence from the Hungarian food industry

Yousuf

Oláh

Sarihasan

et al. 2023

Journal of International Studies

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There is a body of evidence that flexibility as a mechanism can help to increase a company’s performance when an unexpected situation occurs. The food industry is considered one of the best industries and the performance of food industry undertakings accounts for 2.2% of Hungarian GDP. Food companies make up the third-largest manufacturing sector in Hungary. This study aims, therefore, to investigate the impact of operational flexibility on the performance of the Hungarian food industry by considering environmental uncertainty as a moderator. The research is cross-sectional. A customized questionnaire was used to obtain primary data. The questionnaires were distributed to a purposive group of managers, and there were 301 valid replies for statistical analysis. The findings revealed that operational flexibility has a beneficial impact on company success, while uncertainties in supply and demand do not have an effect on this link.

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“…Theoretical arguments suggest that financial inclusion can enhance or alleviate environmental degradation. For instance, financial inclusion enables small and medium enterprises and individuals to avail financial products and services conveniently at an affordable cost, which makes investments in cleaner technologies more viable (Le et al, 2020;Metzker et al, 2021). Cleaner technologies promote both economic development and environmental sustainability (Jordaan et al, 2017); hence, financial inclusiveness can contribute to CO 2 reduction through this channel.…”

Section: Introductionmentioning

confidence: 99%

Financial Inclusion, Technological Innovations, and Environmental Quality: Analyzing the Role of Green Openness

Ahmad

Ahmed

Bai

et al. 2022

Front. Environ. Sci.

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Undoubtedly, financial inclusion (FIN) contributes to economic development by enabling individuals and businesses, particularly small and medium enterprises, to access financial services. Financial inclusion may also have environmental implications; however, limited studies have looked into the nexus between financial inclusion and environmental quality. Also, the possible impacts of technological innovation and green openness remain unexplored in this nexus. In this context, this article probes the relationship between financial inclusion, technological innovation, green openness, and CO2 emissions in BRICS countries while controlling for economic growth and energy consumption. Using the panel times series data from 2004 to 2018, this study uses advanced econometric techniques for empirical analysis robust to cross-sectional dependency and slope heterogeneity. The empirical results unveiled that FIN contributes to environmental degradation in BRICS countries. In contrast, technological innovation and green openness pose mitigating effects on emissions, thus promoting environmental sustainability. Environmental degradation is evidenced to enhance due to rising economic growth and energy utilization. Financial inclusion, technological innovation, and green openness Granger cause CO2 emissions, but not the other way around. Further, technological innovation, green openness, and financial inclusion Granger cause each other. Based on the empirical results, this study recommends that BRICS countries should promote technological innovation, green openness, and at the same time, integrate financial inclusion with environmental policies to achieve climate-related goals.

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The Perception of the Market and Operational Area of Business by Service Sector and Tourism Companies in terms of CSR implementation

Cited by 21 publications

References 49 publications

Demand forecasting: AI-based, statistical and hybrid models vs practice-based models - the case of SMEs and large enterprises

Demand forecasting: AI-based, statistical and hybrid models vs practice-based models - the case of SMEs and large enterprises

Is flexibility a dual mechanism? Evidence from the Hungarian food industry

Financial Inclusion, Technological Innovations, and Environmental Quality: Analyzing the Role of Green Openness

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