| 1. |
- Baum, Christopher F., et al.
(author)
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Firms in (Green) Public Procurement : Financial Strength Indicators’ Impact on Contract Awards and Its Repercussion on Financial Strength
- 2021
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In: SSRN Electronic Journal. - Berlin : DIW Berlin. - 1556-5068.
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Reports (peer-reviewed)abstract
- We examine whether the financial strength of companies, in particular, small and medium-sizedenterprises (SMEs) is causally linked to the award of a public procurement contract (PP), especially inthe environmentally friendly “green” area (GPP). For this purpose, we build a combined procurementcompany data set from the Tenders Electronic Daily (TED) and the SME database AMADEUS, whichincludes ten European countries. First, we apply probit models to investigate whether the probabilityof winning the public tender depends on the company's financial strength. We then use theFlexpanel DiD approach to investigate the question of whether the award has an impact on thefuture financial strength of the successful company. On the one hand, we find that a lower equityratio and a higher short-term debt ratio increase the probability of being successful in a publictender. On the other hand, the success means that the companies can continue to work after theaward with a lower equity ratio than comparable companies without an award, regardless ofwhether the company was successful in a traditional or a “green” public tender. We conclude fromthis that the success in a PP is a substitute for one's own financial strength and thus facilitates accessto external financing. The estimation results differ depending on whether public procurement ingeneral or the sub-group of “green” public procurement is examined.
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| 2. |
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| 3. |
- Fard, Parham Jafari Moghadam, et al.
(author)
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Intelligent agent based on RFID-sensor network in Abadan refinery
- 2008
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Conference paper (peer-reviewed)abstract
- Base on site visit and pilot surveys with experts in one of the largest Iranian refineries, entities and activities of that refinery extracted. Then RFID tags and sensors network considered as a technology on different activities of refinery. With help of recommended peripherals and using RFID, an integrated model proposed. Base on this integrated model MIS systems will be come out of the heart of this integrated model to analysis the networks data, monitor these data, alert departments and manage the tasks and transportation or control crisis. Finally from these MIS systems a simple reflex intelligent agent will be born which will be used as operator assistance base on fixed pre rules.
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| 4. |
- Hulthén, Hana, et al.
(author)
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Supply forecasting using machine learning : a case study from FMCGs sector
- 2019
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In: 31st Nofoma Conference, Supply Chains and Sustainable Development of Societies, Norwegian Business School, Oslo, June 12-14, 2019.
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Conference paper (peer-reviewed)abstract
- PurposeIn fast moving consumer goods sector (FMCGs), manufacturers’ access to demand related data (e.g. point of sales data, lost sales, end-customer orders) is often limited making demand forecasting impossible. Instead, to enhance production planning, the manufacturers might base their DC supply forecasts on limited information including shipments from DC to wholesalers and retail stores. This is not optimal. To enhance the situation, the purpose is: (i) to propose a method of how manufacturers can use Machine Learning (ML) approach to improve supply forecasting to a DC if demand information is lacking, and (ii) to identify the demand information needed for demand forecasting supported by ML approach.Design/methodology/approachA single case study methodology of a manufacturer from FMCG sector, principle component analysis, and simple linear regression in R programming language is used. Also, linear regression using stochastic gradient descent optimization technique in Amazon ML is applied.Findings We propose a method of how FMCG manufacturers lacking demand data can utilize the ML approach to enhance supply forecasting, and identify needed demand related information to implement demand forecasting.Research limitations/implications (if applicable)The results are based on one case and need validation through more cases. Practical limitations/implications (if applicable)The results can be used by managers lacking demand related data to improve DC supply forecasting in FMCGs sector. Originality/valueThe results can contribute to the area of supply forecasting through ML.
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| 5. |
- Kordestani, Arash Abolghasemi, et al.
(author)
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Supply chain process maturity and financial performance study of Swedish steel SMEs
- 2010
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In: Proceedings of the 17th Euroma conference.
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Conference paper (peer-reviewed)abstract
- The goal of this research is to demonstrate that the financial performance of the current year in Swedish steel SMEs is dependent on the amount of maturity of supply chain processes. This is examined by considering current supply chain process maturities of the firm together with financial performance of prior years. It was found that the delivery process of supply chain processes and prior cost of goods sold (COGS) have an effect on current COGS. Additionally, prior inventory and plan process of the supply chain have a positive and negative effect on inventory turnover respectively.
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| 6. |
- Kordestani, Arash, et al.
(author)
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Effects of the COVID-19 pandemic on stock price performance of blockchain-based companies
- 2022
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In: Ekonomska Istrazivanja. - : Taylor & Francis Group. - 1331-677X .- 1848-9664. ; 35:1, s. 3206-3224
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Journal article (peer-reviewed)abstract
- The price of a stock rises or falls in relation to a number of different factors, including changes to the economy brought about by pandemics. A few studies have already identified the effect of the COVID-19 pandemic on the stock market. However, empirical evidence is lacking on changes in stock price performance of blockchain-based companies as a result of the COVID-19 pandemic. We use the event study approach to estimate stock expected returns by applying an asset pricing model over a thirty-day event window around the announcement on March 11, 2020 by the World Health Organization (WHO) regarding the outbreak of the coronavirus (COVID-19) as a global pandemic, using a sample of S&P Global 1200 companies. Overall, our results indicate more sensitivity in blockchain-based companies' stock prices to the COVID-19 pandemic compared to those of non-blockchain-based companies. Cumulative abnormal returns show that the stock price of blockchain-based companies recover losses slower than non-blockchain companies. Our findings are important for investors and shareholders for future pandemics and events.
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| 7. |
- Kordestani, Arash, et al.
(author)
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Emerging trends in sustainability research: a look back as we begin to look forward
- 2015
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In: International Journal of Environment and Sustainable Development (IJESD). - : InderScience Publishers. - 1474-6778 .- 1478-7466. ; 14:2, s. 154-169
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Journal article (peer-reviewed)abstract
- This research is a content analysis of 1502 peer-reviewed articles on sustainability. The aim is to investigate emerging themes and trends in this area of research and move towards recommendations for researchers to consider when developing their work in sustainability research. By exploring and tracking sustainability literature in the business and management disciplines over a 20-years period, patterns emerge that could provide a better understanding of the trends within authorship, research topic, and the themes and concepts being studied. One interesting contribution of this study is introducing the concept of the “4Ps of sustainability research,” which emerges by reviewing this area over time. The results suggest that the evolution of sustainability research can be summarized in organizations and firms moving from Principles and Policy towards Practice and Performance during over 20 years of sustainability efforts. This paper also discusses the creation of sustainability value and evolution of businesses to sustainability knowledge centers. It adds to the related literature, by proposing a new way of categorizing sustainability research over time, and introducing a framework for theory building in this area of research.
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| 10. |
- Kordestani, Arash, et al.
(author)
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Environmentally and Socially Responsible Buyer Supplier Relationship Management
- 2015
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In: Developments in Marketing Science: Proceedings of the Academy of Marketing Science. - Cham : Springer Nature. ; , s. 445-446, s. 445-446
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Book chapter (peer-reviewed)abstract
- Stakeholders expect corporations to improve their sustainability performance through observing environmental and social demands, and corporations respond to these requirements through applying corporate social responsibility (CSR). CSR can be achieved by designing a sustainable supply chain in cooperation with companies along the supply chain. The stakeholder pressure on corporations to become sustainable transfers across the supply chain to suppliers. Buying firms manage the relationship with suppliers through supply management. Then, supplying managers’ attention to customer’s sustainability demands and reflecting such demands in their supply can improve the sustainability performance of the suppliers. This improvement in performance of suppliers emanates in supplied products and services and it gives buying firm a comparative advantage against competitors. Accordingly, sustainable supply management and buyer-supplier cooperation on achieving sustainability can address the sustainability concerns of the current business world. However, very few existing studies have considered the impact of sustainable supply management on improving sustainability performance of the buying firm. The current study goes beyond improving the sustainability performance of the buying firm. Specifically, the present research illustrates how sustainable supply management and buyer-suppliers cooperation can boost sustainability performance of the suppliers.
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