چکیده
مقدمه
مروری بر مطالعات پیشین
روش شناسی
نتایج
بحث
نتیجه گیری
منابع
Abstract
Introduction
Literature Review
Methodology
Results
Discussion
Conclusion
References
چکیده
ارزش-اصالت. شرکتهای نوپا به دنبال راهحلهایی برای حذف مسائل بیهوده و ارتقای فعالیتهایی هستند که ارزش افزوده را در مرحله توسعه محصول/خدمت ارائه میکنند، به گونهای که این گونه شرکتها قادر به ارائه محصولات عالی و احتمال موفقیت بیشتر بدون نیاز به سرمایهگذاری قابلتوجه باشند. منابع خارجی بر این اساس، نوآوری، هوش تجاری و مدیریت دانش به یافته های مثبت شرکت های نوپا کمک می کند. اهداف. از این رو، هدف پژوهش حاضر، بررسی تأثیر هوش تجاری بر عملکرد شرکتهای نوپا با توجه به میانجیهایی مانند نوآوری و مدیریت دانش بود. مواد و روش ها. نوع %e این پژوهش از نوع همبستگی و از نظر هدف و گردآوری داده ها از نوع کاربردی و توصیفی- پیمایشی می باشد. جامعه آماری ما شامل تمامی کارشناسان و مدیران مرتبط در استارت آپ های ایرانی زیر است: Pinket، Alibaba، Snapp، Filimo، IDPay، PhonePay، TapSell و Body Spinner. نمونه ما متشکل از 108 نفر از کارشناسان و مدیران شرکت های مذکور بود که به روش نمونه گیری خوشه ای انتخاب شدند. برای تجزیه و تحلیل داده های جمع آوری شده از مدل سازی معادلات ساختاری با رویکرد حداقل مربعات جزئی استفاده شد. یافته ها نتایج ما اثربخشی هوش تجاری، نوآوری و مدیریت دانش را بر عملکرد استارتآپها و هوش تجاری بر نوآوری و مدیریت دانش نشان میدهد. در نهایت، نوآوری و مدیریت دانش واسطههای ارتباط بین هوش تجاری و عملکرد استارتآپها هستند. نتیجه. به مدیران شرکتهای نوپا اکیداً توصیه میشود که از نوآوری و مدیریت دانش به منظور ارتقای عملکرد کسبوکار خود استفاده کنند.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
Value-Originality. Startup companies look for solutions to remove useless issues and enhance the activities offering value adding over the product/service development stage in such a way that such companies will be able to provide great products and more probabilities for success with no need to employ considerable investments from external sources. Accordingly, innovation, business intelligence, and knowledge management will contribute to the positive findings of startup companies. Objectives. Hence, the purpose of the present study was to conduct an investigation on the impact of business intelligence over the performance of startup companies according to such mediators as innovation and knowledge management. Methods. The type of this study is correlation and is also an applied and descriptive-survey work regarding objective and data gathering. Our statistical population encompassed all related experts and managers in the following Iranian startups: Pinket, Alibaba, Snapp, Filimo, IDPay, PhonePay, TapSell, and Body Spinner. Our sample was composed of 108 experts and managers in mentioned companies, who were chosen based on the cluster sampling method. Structural equation modeling with partial least squares approach was used to analyze the gathered data. Findings. Our results reveal the effectiveness of business intelligence, innovation, and knowledge management on the performance of startups and that of business intelligence on innovation and knowledge management. Ultimately, innovation and knowledge management are mediators of the relationship between business intelligence and performance of startups. Conclusion. The startup companies’ managers are strongly recommended to take advantage of innovation and knowledge management in order to enhance the performance of their businesses.
Introduction
Over the last two decades, there have been many contents and qualitative changes in global markets, and thus, the movement towards regionalization and globalization of markets has accelerated. In parallel, the production-oriented period is coming to an end, and the customer-centric period is taking shape. Industrial producers, with the aim of making the best use of facilities and preventing the waste of valuable resources, have devised measures that resulted in a revolution at the industrial structure. One of the obvious and main characteristics of this structural revolution is the further growth and promotion of small and medium-sized enterprises (SMEs). SMEs play an important role in the economic and social development of countries. In all economies, these groups make up the vast majority of the firms and are usually responsible for creating jobs in the community, while one-third to two-thirds of the volume of private sector transactions take place in these companies. In addition, SMEs are referred to as safe and reliable markets in the world, which are considered as a place for micro and small businesses to operate on a larger scale. Experts believe that SMEs are able to manage the world’s economies with a high power of competitiveness and productivity [1, 2].
Conclusion
In startups, innovation plays a very important role because the results and successes of these types of organizations are interesting and admirable. Innovation in startups indicates the ability of startups as a living human system to flourish and learn from the constant waves of change so that change is a natural and inevitable part of organizational life, not a separate part and a threatening event. In addition, business intelligence requires the capability to adapt quickly in response to unforeseen developments and events, market opportunities, and customer needs. In such a business, processes and structures are found that facilitate speed, adaptability, and robustness, and have a coordinated and orderly system with the ability to achieve competitive performance in a completely dynamic and unpredictable environment, and obviously, this environment is not incompatible with the current functions of the organization. Therefore, such features as business intelligence and knowledge management can play an effective and significant role in achieving new innovations. Hence, this study mainly aimed to investigate the effect of business intelligence on the performance of startups with the mediating role of innovation and knowledge management. Here, we tried to answer the question of what the effect of business intelligence is on the performance of startups with the mediating role of innovation and knowledge management. To achieve this goal, a sample of the startup managers and employees was selected and surveyed. The collected data were analyzed by structural equation modeling with partial least squares approach. The results show that business intelligence, innovation, and knowledge management affect the performance of startups. Besides, business intelligence is effective on innovation and knowledge management. Innovation and knowledge management mediate the relationship between business intelligence and the performance of startups, and this result is in line with Caseiro and Coelho [28] and Abbas and Sagsan [29]. As a result, managers of startup companies are advised to take advantage of up-to-date technologies to facilitate innovation in their production procedure. For this purpose, they can use specialized market research teams. With more careful planning, production lines are recommended to be designed and used in such a way that the organization can have the appropriate flexibility to deliver the products and services with newer features. As another proposition, some teams should be formed to analyze the reasons for the failure and even the success of the production of a particular product or project, and the results of this study should be made available to the staff of the relevant departments. It is also suggested that by giving sufficient authority to different departments, a suitable ground should be provided and supported for creative ideas and their implementation. Startup managers are also advised to be flexible in their activities so that they do not choose just a single way to achieve a specific goal, consider other ways, and employ the best method that works with better speed and quality to reach the target.
H1: business intelligence affects the performance of startups.
H2: business intelligence affects the innovation.
H3: business intelligence affects the knowledge management.
H4: innovation affects the performance of startups.
H5: knowledge management affects the performance of startups.
H6: innovation mediates the relationship between business intelligence and the performance of startups.
H7: knowledge management mediates the relationship between business intelligence and the performance of startups.