چکیده مقاله
The integration of Artificial Intelligence AI systems within Small and Medium scale Enterprises SMEs presents a multifaceted landscape of impacts on their operational performance While AI offers significant potential for efficiency gains, enhanced decision making, and novel service delivery, the successful realization of these benefits hinges critically on the alignment between AI capabilities and SME specific objectives and constraints This 'AI alignment' encompasses not only the technical suitability of AI solutions but also their ethical, organizational, and strategic integration For SMEs, which often operate with limited resources, agile structures, and a strong customer centric focus, misalignment can manifest as increased costs without commensurate returns, disruption to established workflows, or the adoption of technologies that are either too complex to manage or fail to address core business needs Conversely, well aligned AI initiatives can democratize advanced capabilities, enabling SMEs to compete more effectively with larger organizations by automating repetitive tasks, personalizing customer interactions through data analytics, optimizing supply chains, and even fostering innovation through predictive modeling and rapid prototyping Therefore, understanding and actively managing the alignment of AI with SME realities is paramount for unlocking their transformative potential and driving sustainable competitive advantage The specific impacts of AI alignment on SME performance can be categorized across several key dimensions Operationally, aligned AI can significantly boost productivity by automating manual processes in areas like customer service chatbots, automated responses , accounting invoice processing , and inventory management This frees up human capital for higher value strategic activities Strategically, AI driven insights derived from aligned data analytics can inform market positioning, product development, and customer segmentation, leading to more targeted and effective strategies Financially, while initial investment in AI can be substantial, aligned solutions, particularly those offered as Software as a Service SaaS or utilizing open source frameworks, can demonstrate a positive return on investment through cost reduction and revenue enhancement However, misalignment in the form of poorly chosen AI tools, inadequate data governance, or insufficient employee training can lead to significant financial losses and hinder growth Furthermore, ethical considerations, such as data privacy and algorithmic bias, become critical alignment factors, as a perceived or actual ethical lapse can severely damage an SME's reputation and erode customer trust, ultimately impacting its long term performance and viability Addressing these alignment challenges requires a holistic approach that considers technological feasibility, economic viability, human resource capabilities, and ethical implications within the unique context of each SME
کلیدواژهها
نویسندگان
Roohollah Arabzadeh Ghahyazi
Department of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran
Masoud Karimkhani
Department of Computer Science, Central Tehran Branch , Islamic Azad University, Tehran, Iran
Suresh Aluvihara
Department of Chemical and Process Engineering, University of Peradeniya, Peradeniya, Sri Lanka
Mohammad Reza Radfar
Department of Financial Management, ST,C Islamic Azad University, Tehran, Iran
Hossein Abyar
Department of Financial Management and accounting, Central Tehran Branch , Islamic Azad University, Tehran, Iran
Mohammad Karimkhani
Department of Clinical Psychology, Zanjan Branch , Islamic Azad University, Zanjan, Iran
شیوه ارجاع
Arabzadeh Ghahyazi, Roohollah and Karimkhani, Masoud and Aluvihara, Suresh and Radfar, Mohammad Reza and Abyar, Hossein and Karimkhani, Mohammad,1404,The Impacts of Artificial Intelligence (AI) Alignments on the Performance of Small and Medium-Scale Enterprises: A Review,Second National Conference on A World without Oil,Tehran
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