Investigating The Performance Of Local And Indigenous Businesses In Times Of Economic Recession With Emphasis On Developing The Capabilities Of Cooperatives In Sistan And Baluchest... by Ali Asghar Tabavar, Abdoulnaser Derakhshan, Sahar Arefi

“…In order to measure this variable, the amount of changes in the added value created as a percentage of changes in the profit of these companies is considered.Economic recession: In the context of the economic cycle, an economic recession is a period when the economy takes on a state of contraction and shrinks. …”
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New Information and Communication Technologies for climate services: Evidence from farmers in Ada East District, Ghana by Rebecca Sarku, Famous Addi, Emmanuel M.N.A.N. Attoh

“…Companies can target rural and farming communities with customised products and services such as affordable smartphones, data plans, or specialised apps for agricultural purposes. …”
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What do the CEOs’ LinkedIn posts reveal about their mindsets towards organisational culture? A discourse analysis of LinkedIn posts by the CEOs of Swedish unicorn startups by Ona Žeimytė, Giedrė Lapinskienė

“…Over the past decade, CEOs have increasingly adopted social media as a strategic instrument to engage a broader range of stakeholders, strengthen brand visibility, drive business growth, and convey messages regarding their companies’ organisational culture. In an information-overloaded age, CEOs’ social network communication reflects their attitudes towards organisational culture and sends important signals to both employees and society. …”
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Optimizing Job Performance Through Perceived Organizational Support and Self Efficacy: The Mediating Role of Work Engagement by Anisa Indigovera Wargoputri, Rr. Sri Handari Wahyuningsih, Arni Surwanti

“…Originality/Value (state of the art): This study contributes toward JP to adding knowledge and providing insight into the mediating role of WE for medical recorders in healthcare, which prior studies only focused on non-health institutions or companies. In addition, this research highlights the combination of four interrelated variables. …”
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A Review on Biosurfactant Applications in the Petroleum Industry by Wei Xi, Yuanye Ping, Masoome Agha Alikhani

“…This paper reviews relevant reports and results from various presented papers by researchers and companies on applications of microorganisms and biosurfactant technology with specific emphasis on EOR and MEOR processes, based on recently published articles since 2010 until now.…”
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EFQM in vocational education – teacher and student perspectives by Maria Gianni, Efthalia Kontou, Ilias Avdikos, Eftychia Kessopoulou, Styliani Xanthopoulou

“…The findings assist VET institutions in prioritizing areas for improvement and help companies to develop strategies that consider key stakeholders' needs.…”
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What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction by Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro

“…It finds more and more applications for the optimization of the production and administrative processes of private companies and public administrations. This field consists of several areas: process discovery, compliance monitoring, process improvement, and predictive process monitoring. …”
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A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction by Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

“…Financial bankruptcy prediction is crucial for financial institutions in assessing the financial health of companies and individuals. Such work is necessary for financial institutions to establish effective prediction models to make appropriate lending decisions. …”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…Long-term economic growth and prosperity are dependent on the success of agriculture and associated companies in the United States. Agribusiness crop yields may be increased by carefully selecting the right crops and putting in place supportive infrastructure. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Almost 85% of companies polled said they were looking into anomaly detection (AD) technologies for their industrial image anomalies. …”
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A Machine Learning Method to improve Supplier Delivery Appointments in Supply Chain Industries by Anitha Palakshappa, Sumana Maradithaya, Charunayana V

“…Practical Implications: Further, the work will also provide recommendations for retail companies looking to implement machine learning algorithms in their supply chain management. …”
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Assets performance evaluation with the use of returns distribution characteristics by Seyedeh Masoumeh Mirsadeghpour Zoghi, Masoud Sanei, Ghasem Tohidi, Shokoofeh Banihashemi, Navideh Modarresi

“…Finally, the scenarios of returns are obtained, and the assets performance is evaluated.Findings: The correctness of the model is investigated by evaluating the relative efficiency of 7 companies from different industries in Iran Stock market. …”
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Design and Profit Allocation in Two-Echelon Heterogeneous Cooperative Logistics Network Optimization by Yong Wang, Yingying Yuan, Kevin Assogba, Ke Gong, Haizhong Wang, Maozeng Xu, Yinhai Wang

“…In modern supply chain, logistics companies usually operate individually and optimization researches often concentrate on solving problems related to separate networks. …”
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Economic Analysis of Sequestering Carbon in Green Ash Forests in the Lower Mississippi River Valley by Ching-Hsun Huang, Gary D. Kronrad, Shiaolin D. Cheng

“…Since the U.S. is the largest emitter of carbon dioxide (CO2), it has become crucial to develop options that are both cost effective and supportive of sustainable development to reduce atmospheric CO2. Electric utility companies have the options of reducing their use of fossil fuels, switching to alternative energy sources, increasing efficiency, or offsetting carbon emissions. …”
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Econometric analysis of supply chain disruptions: financial performance in the European automotive sector by Viviane Naimy, Tatiana Abou Chedid, Nicolas Bitar

“…We investigated the relationship between supply chain disruptions (SCD) and the financial performance (FP) of European automotive companies across emerging and developed nations. Addressing gaps in the literature, it offers a comprehensive, industry-specific analysis using panel data from 73 automotive firms across 21 European countries from 2013 to 2022. …”
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New Product Presale Strategies considering Consumers’ Loss Aversion in the E-Commerce Supply Chain by Chongfeng Lan, Jianfeng Zhu

“…The research conclusions provide some theoretical reference for companies in the development of new product presale strategies in the e-commerce supply chain.…”
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A model for developing dependable systems using a component‐based software development approach (MDDS‐CBSD) by Hasan Kahtan, Mansoor Abdulhak, Ahmad Salah Al‐Ahmad, Yehia Ibrahim Alzoubi

“…The reliability of this model can also let companies utilise CBSD with confidence.…”
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Enhancing voice spoofing detection in noisy environments using frequency feature masking augmentation by Soyul Han, Jaejin Seo, Sunmook Choi, Taein Kang, Sanghyeok Chung, Seungeun Lee, Seoyoung Park, Seungsang Oh, Il-Youp Kwak

“…In the rapidly evolving landscape of voice-related technology, high-tech companies are developing multifaceted voice assistants, tailored to their specific organizational goals. …”
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Building Information Modeling as a Moderator Effects the Relationship Between Sustainability Metrics and Stakeholder Satisfaction by Hisham Noori Hussain Al-Hashimy

“…The research succeeded in collecting data by preparing a survey, which was conducted among leading oil companies in Iraq, with the aim of determining their information system procedures. …”
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Hybrid metaheuristic artificial neural networks for stock price prediction considering efficient market hypothesis by Milad Shahvaroughi Farahani, Hamed Farrokhi-Asl, Saeed Rahimian

“…An innovative aspect of this research involves testing market efficiency and identifying the most significant companies in Iran as the statistical population. The experimental results clearly indicate that a hybrid ANN-HS algorithm outperforms other algorithms regarding stock price prediction accuracy. …”
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