به جمع مشترکان مگیران بپیوندید!

تنها با پرداخت 70 هزارتومان حق اشتراک سالانه به متن مقالات دسترسی داشته باشید و 100 مقاله را بدون هزینه دیگری دریافت کنید.

برای پرداخت حق اشتراک اگر عضو هستید وارد شوید در غیر این صورت حساب کاربری جدید ایجاد کنید

عضویت
فهرست مطالب نویسنده:

darya yousefi

  • Darya Yousefi, Jila Yousefi, Rohollah Ghasemi *, Ali Mohaghar
    In the Industry 4.0 era, many pioneering industries are leveraging emerging technologies such as the Internet of Things (IoT) as solutions in the digital age. One of the largest and most active industries in Iran is the food industry, which stands to benefit significantly from these advancements. Achieving a sustainable competitive advantage is often possible at the level of the supply chain, where companies use information and communication technologies, such as IoT, to coordinate information, finances, and materials among supply chain actors. This research aimed to identify the key success factors (KSFs) for implementing IoT in the food supply chain. Firstly, through a systematic literature review, the KSFs for IoT implementation in the food supply chain were identified. To develop a measurement model, confirmatory factor analysis using structural equation modeling was employed, making the research applied-descriptive. A questionnaire was designed and completed by 142 members of the "Amadeh Laziz" supply chain (a case study), who were selected using a stratified random sampling method. Confirmatory factor analysis and LISREL 8.83 were then used to validate the proposed model. Finally, the cause-and-effect relationship between KSFs in IoT implementation in the food supply chain was analyzed using Grey DEMATEL. Based on the confirmatory factor analysis findings, the KSFs in implementing IoT in the food supply chain were identified as technical, economic, legal, cultural and social, security, applicability of IoT throughout the supply chain, and implementation of IoT applications. Thus, the measurement model included eight factors and 27 measures. According to the cause-and-effect relationship findings, "Implementation of IoT applications" and "Economic" factors were found to be mostly influenced, while "Applicability of IoT throughout the supply chain" and "Technical" factors were recognized as the most influential. The results of this research can guide food producers and technology policymakers in their supply chains and help avoid trial and error in IoT implementation by leveraging global and national experiences.
    Keywords: Internet Of Things (Iot), Food Supply Chain, Key Success Factors (KSF), Structural Equation Modeling (SEM), Grey DEMATEL
  • دریا یوسفی، علی پیران نژاد*، مونا جامی پور
    هدف
    امروزه اینترنت اشیا با سرعت چشمگیری در حال توسعه است و کسب وکارها به طور فزاینده ای روی به کارگیری آن در فرایندهای خود سرمایه گذاری می کنند، با این حال از پیاده سازی این فناوری در فرایندهای منابع انسانی خود بازمانده اند؛ زیرا از کاربردهای متعدد اینترنت اشیا در حوزه مدیریت منابع انسانی، درک روشن و کاملی ندارند که این خود از خلا مطالعاتی موجود در ادبیات پژوهش در رابطه با مبحث مدنظر نشیت می گیرد. پژوهش حاضر بر آن است تا به تشریح این کاربردها در قالب چارچوبی مفهومی بپردازد و کسب وکارها را از مزایای بی شمار آن در این حوزه مطلع سازد.
    روش
    پژوهش حاضر رویکرد کیفی دارد. در این پژوهش ابتدا با استفاده از روش کتابخانه ای، به بررسی و مطالعه پژوهش های انجام یافته حول موضوع مدنظر پرداخته شد. در ادامه، برای پاسخ به سوال اصلی پژوهش، مصاحبه های نیمه ساختاریافته ای به روش گلوله برفی با 9 تن از خبرگان حوزه های اینترنت اشیا و مدیریت منابع انسانی به عمل آمد و با فن تحلیل مضمون و کدگذاری مضامین از طریق نرم افزار مکس کیودا، به تحلیل داده های حاصل از آن اقدام شد.
    یافته ها
    در این پژوهش، 23 کاربرد منحصربه فرد اینترنت اشیا در حوزه مدیریت منابع انسانی شناسایی و در قالب 6 مضمون اصلی استخدام، آموزش و توسعه، مدیریت عملکرد، جبران خدمات، نگهداشت و پایان خدمت طبقه بندی شد.
    نتیجه گیری
    اینترنت اشیا از طریق هوشمندسازی و داده محورکردن فرایندهای گوناگون منابع انسانی و عاری ساختن آنان از هرگونه خطای انسانی، به واسطه توسعه فرایند خودکارسازی، مدیریت موثرتر و کاراتر این منابع را در سازمان سبب می شود.
    کلید واژگان: اینترنت اشیا، مدیریت منابع انسانی، منابع انسانی دیجیتال
    Darya Yousefi, Ali Pirannejad *, Mona Jamipour
    Objective
    As the Internet of Things (IoT) continues to rapidly develop, businesses are increasingly investing in incorporating it into their processes. However, many companies have yet to adopt this technology in their human resource management practices due to a lack of clear understanding of its potential applications in this area. This is largely due to the limited research literature available on the subject. This research aims to develop a conceptual framework that describes the potential applications of the Internet of Things in human resource management. Additionally, the study aims to raise awareness among businesses about the various benefits that can be gained through the implementation of this technology in their human resource processes.
    Methods
    In this research, firstly, previous studies conducted on the subject were reviewed. Secondly, to answer the main question of the research, semi-structured interviews were conducted with nine experts in the fields of the Internet of Things and human resources management based on the snowball method. The achieved data were analyzed by conducting a thematic analysis and coding the data with MAXQDA software.
    Results
    The main human resource management processes in which the applications of the Internet of Things were identified by the current research include six key areas; 1. recruitment, 2. training and development, 3. performance management, 4. service compensation, 5. maintenance, and 6. termination of service. These applications in the mentioned processes respectively included 1.1. Collecting and analyzing the conscious and unconscious data of employees to offer cooperation opportunities to the elite workforce 1.2. Selecting and attracting the most qualified applicants to the organization 1.3. Compilation of productive work schedule of employees 1.4. Creating the possibility of remote interviews with job seekers and reducing recruitment costs in this way, 2.1. Assessing the needs of employees for training programs after analyzing their performance 2.2. Identifying highly stressed and aggressive employees and providing them with stress and anger management courses 2.3. Improving the self-assessment skills of employees and helping their personal growth and development through it, 3.1. Smartening and automating employee performance control and making it free from any human errors 3.2. Establishing a fair and justice-oriented evaluation of the performance of employees 3.3. Making it possible for employees to evaluate the organization's performance, 4.1. Creating a reward system based on employee performance and encouraging or punishing them accordingly 4.2. Promotion or job rotation of employees after analyzing their behavioral data 4.3. Providing facilities and benefits according to individual tendencies and interests of employees, 5.1. Monitoring the health and physical condition of employees through smart watches and bracelets 5.2. Warning the employees or the manager of the relevant unit when one of the employees is in unfavorable physical conditions 5.3. Ensuring the safety of employees by foreseeing workplace accidents 5.4. Facilitating the daily activities of employees through the intelligentization of the work environment 5.5. Arranging employees in organizational units logically and appropriately after identifying the existing communication patterns among them, 6.1. Identifying employees who are inclined to leave the organization and preventing them from doing so by providing valuable suggestions to them which can result in a reduced rate of leaving the organization, and 6.2. Not losing touch with employees during and after the off-boarding process.
    Conclusion
    The Internet of Things causes more effective and more efficient management of human resources through the intelligentization of HRM processes and making them data-driven and free from any human errors.
    Keywords: Digital human resources, Human resource management, Internet of Things
بدانید!
  • در این صفحه نام مورد نظر در اسامی نویسندگان مقالات جستجو می‌شود. ممکن است نتایج شامل مطالب نویسندگان هم نام و حتی در رشته‌های مختلف باشد.
  • همه مقالات ترجمه فارسی یا انگلیسی ندارند پس ممکن است مقالاتی باشند که نام نویسنده مورد نظر شما به صورت معادل فارسی یا انگلیسی آن درج شده باشد. در صفحه جستجوی پیشرفته می‌توانید همزمان نام فارسی و انگلیسی نویسنده را درج نمایید.
  • در صورتی که می‌خواهید جستجو را با شرایط متفاوت تکرار کنید به صفحه جستجوی پیشرفته مطالب نشریات مراجعه کنید.
درخواست پشتیبانی - گزارش اشکال