مقاله انگلیسی رایگان در مورد روش هوش تجاری در عملکرد استارتاپ – اسپرینگر ۲۰۲۱

springer

 

مشخصات مقاله
ترجمه عنوان مقاله روش هوش تجاری در عملکرد استارتاپ جدید در امارات متحده عربی در طول کووید۱۹: نقش واسطه گر نوآوری
عنوان انگلیسی مقاله How the Business Intelligence in the New Startup Performance in UAE During COVID-19: The Mediating Role of Innovativeness
انتشار مقاله سال ۲۰۲۱
تعداد صفحات مقاله انگلیسی  ۱۷ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه اسپرینگر
مقاله بیس این مقاله بیس نمیباشد
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
فرضیه ندارد
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر دارد
رفرنس دارد
رشته های مرتبط مدیریت
گرایش های مرتبط مدیریت کسب و کار – مدیریت بحران – کارآفرینی
نوع ارائه مقاله
ژورنال
مجله / کنفرانس تاثیر بیماری کووید۱۹ بر هوش تجاری – The Effect of Coronavirus Disease (COVID-19) on Business Intelligence
دانشگاه al Ain University, Abu Dhabi, United Arab Emirates
کلمات کلیدی هوش تجاری، نوآوری، عملکرد استارتاپ در امارات متحده عربی
کلمات کلیدی انگلیسی Business intelligence · Innovation · Start-up performance in UAE
شناسه دیجیتال – doi
https://doi.org/10.1007/978-3-030-67151-8_4
کد محصول E16237
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
دانلود رایگان مقاله دانلود رایگان مقاله انگلیسی
سفارش ترجمه این مقاله سفارش ترجمه این مقاله

 

فهرست مطالب مقاله:

Abstract

۱ Background

۲ COVID 19 and Businesses in the UAE

۳ Literature Review

۴ Hypotheses Development

۵ Method and Measurements

۶ Results

۷ Conclusions

References

 

بخشی از متن مقاله:

Abstract

     The current study aims at empirically investigating the impact of the business intelligence on the new start-up performance of UAE during Covid-19. The study also examines the mediating role of innovativeness in the relationship between business intelligence and new start-up performance in UAE. The sample size included distributing the questionnaires to 250 respondents to get the required information for further analyses. 210 questionnaires out of 250 were received, so the response rate of the study was 84%. The data analysis involved the path modeling technique because of the explorative nature of the study. The results indicated that all the paths are significant at a p-value of less than 0.05. The findings of the study will be helpful for policymakers and researchers in formulating the policy concerning the business intelligence, innovation, and start-up performance in UAE

Background

     No term has been widely accepted by scholars to refer to the external and internal intelligence, which are deemed as essential in business decision-making. The Business Intelligence (BI) is considered an umbrella term that covers processes and technologies required for handling information that may enhance the business decisionmaking [1]. Therefore, business intelligence is a product as well as a process, which comprises those methods that are used by organizations for intelligence and to generate useful information that may help firms thrive and survive in the marketplace. As a product, it serves as information that enables firms to anticipate the behavior of firms’ suppliers, customers, competitors, services, products, business environment. and technologies with greater certainty.

     The Business intelligence (BI) has gained considerable attention due to its increased accessibility to the information through electronic means. In this process, information is acquired, processed, and presented in a useful form and also forms the basis for organizations’ intelligence practices. In addition, the information usage is required to be improved, particularly in the context of the great social and political change taking place around the globe, the rapid technological change, and the increase in the cut-throat competition [2]. However, the increased uncertainty among firms has given rise to the information processing activities [3, 4], which may otherwise jeopardize the firms’ survival in the market. Generally, the startups strive to attain a certain position in the market, which is also essential for them to grow and survive. It is noteworthy that small firms are not exactly a smaller version of large firms since both have different structures, management practices, ran an source availability, the competition level and the environmental response in the market they compete [5]. Thus under a highly dynamic, volatile, and competitive business environment, the information must be gathered by firms for improved decision-making. Although it may seem challenging, particularly for the startup firms who are struggling to survive in the market, this information gathering process facilitates the firms’ managers to effectively align with their environment and improve the performance of their organization [6, 7]. In addition, firms can use business intelligence (BI) for information gathering and simultaneously contribute to expanding the available pool of knowledge for the managers. Thus, BI can be deemed as important assets for the organizations [8].

Conclusions

     The results of the study are in line with the Resource-Based View (RBV). According to the RBV Theory, organizations must utilize their human, organizational, and physical assets (intangible & tangible) to develop and sustain a competitive advantage. This theory postulates that firms that possess rare and valuable resources are capable of developing a competitive advantage [20], particularly if their resources cannot be easily substituted or imitated. Correspondingly, in terms of knowledge-based view (KBV), knowledge is viewed as a company’s most valuable resource [38]. The RBV theory provides a theoretical foundation for the Knowledge-based view (KBV) by asserting that a firm’s primary factor of production is its knowledge, which helps firms in gaining a competitive advantage. This study was based on the sample size of 250 respondents, whereby only 210 questionnaires out of 250 were received, so the response rate of this study was 84%. For the data analysis, the path modeling technique was required because of the explorative nature of the study. The results indicate that all the paths are significant at a p-value of less than 0.05.

ارسال دیدگاه

نشانی ایمیل شما منتشر نخواهد شد.