دانلود مقاله تاثیر شیوه های هوش تجاری بر رضایت شغلی
چکیده
مقدمه
چارچوب نظری
مروری بر مطالعات پیشین
روش تحقیق
نتایج و بحث
منابع
Abstract
Introduction
Theoretical framework
Literature review
Research methodology
Results and discussion
References
چکیده
هدف
هدف این مطالعه تعیین تأثیر هوش تجاری بر رضایت شغلی در شرکت برق عربستان سعودی در عسیر است. هدف آن ارزیابی رضایت شغلی کارکنان پس از اتخاذ یک سیستم BI برای شیوه های شغلی است.
طراحی / روش شناسی / رویکرد
از روش ترکیبی شامل توصیفی، پرسشنامه برای جمع آوری داده ها و رویکرد تحلیلی استفاده شد. جامعه نمونه تصادفی شامل 354 کارمند از 3000 نفر می باشد.
یافته‌ها مشخص شد که پیاده‌سازی یک سیستم BI و شیوه‌های مرتبط از نظر آماری تأثیر معنی‌داری بر رضایت شغلی کارکنان دارد. این مطالعه اتخاذ سیستم های BI را برای فعالیت های سازمانی توصیه می کند. چنین سازمان هایی باید جدیدترین ابزارهای BI را برای حل مشکلات تجاری در نظر بگیرند.
اصالت/ارزش
بر اساس دانش نویسندگان، مطالعه حاضر اولین تلاش برای ارزیابی عملکرد شیوه های BI در منطقه و در زمینه رضایت شغلی کارکنان است. این امر به درک رضایت شغلی در محیط سازمانی مشابه کمک خواهد کرد.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
Purpose
The purpose of this study is to determine the effect of business intelligence on job satisfaction in the Saudi Electricity Company in the Asir. It aims to evaluate employee job satisfaction after adopting a BI system for job practices.
Design/methodology/approach
A mixed-method including descriptive, questionnaire for data collection and analytical approach was used. The random sample population consists of 354 employees out of 3,000.
Findings
It is found that the implementation of a BI system and the associated practices have a statistically significant effect on employee job satisfaction. The study recommends the adoption of BI systems for organizational activities. Such organizations must consider the latest BI tools for solving business problems.
Originality/value
To the best of authors' knowledge, the current study is the first attempt to evaluate the performance of BI practices in the region and in context of employee job satisfaction. This will contribute to understanding the job satisfaction in similar organizational environment.
Introduction
In the modern era, business organizations of all types, public, private, manufacturing and service, face numerous challenges with rapid technological change. Traditional management of business operations has become incapable of handling the growing operational needs of business organizations. Therefore, raising the organization technological infrastructure is essential to enhance the business performance efficiency. Business applications based on emerging technologies and artificial intelligence (AI) are the most feasible replacement for traditional business management operations. Business applications based on AI have drastically changed the organizational work culture and facilitated employees with an easy-to-use operational infrastructure. For instance, Business Intelligence (BI) is one of such technologies that creates an intelligent work environment for both business operations and employees of an organization.
Results and discussion
The researcher verified the validity of the study tool as follows:
Validity assessment: The research tool was derived from a group of experts, consisting of (3) specialized members in management, information systems and statistics. The experts expressed their opinions on the appropriateness of statements, clarity of formulation and suitability of each statement to the axis. Accordingly, the researcher made modifications agreed upon by the experts.
Confirmatory factor analysis:
CFA indicates the questionnaire's stability in its results and does not change significantly if it was redistributed to the sample members several times under the same conditions. The study used the internal consistency method to measure the tool's stability using Cronbach's alpha test, as shown in the Table 2.
H1.There is a statistically significant effect at the level of significance (0.05) for practicing the dimensions of BI on the level of job satisfaction in the Saudi Electricity Company in the Asir Region