نقش قابلیت های تجزیه و تحلیل کسب و کار در عملکرد شرکت ها
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نقش قابلیت های تجزیه و تحلیل کسب و کار در عملکرد شرکت ها

عنوان فارسی مقاله: نقش قابلیت های تجزیه و تحلیل کسب و کار در تقویت چابکی و عملکرد شرکت ها
عنوان انگلیسی مقاله: The role of business analytics capabilities in bolstering firms’ agility and performance
مجله/کنفرانس: مجله بین المللی مدیریت اطلاعات - International Journal of Information Management
رشته های تحصیلی مرتبط: مدیریت
گرایش های تحصیلی مرتبط: مدیریت کسب و کار، مدیریت اجرایی، مدیریت عملکرد
کلمات کلیدی فارسی: تجزیه و تحلیل کسب و کار، چابکی، کیفیت اطلاعات، قابلیت نوآوری، آشفتگی محیطی، حداقل مربعات جزئی
کلمات کلیدی انگلیسی: Business analytics، Agility، Information quality، Innovative capability، Environmental turbulence، Partial least squares
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus - Master Journals List - JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.ijinfomgt.2018.12.005
دانشگاه: Allameh Tabataba’i University, Tehran, Iran
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 7/338 در سال 2018
شاخص H_index: 91 در سال 2019
شاخص SJR: 1/711 در سال 2018
شناسه ISSN: 0268-4012
شاخص Quartile (چارک): Q1 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 15
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
آیا این مقاله مدل مفهومی دارد: دارد
آیا این مقاله پرسشنامه دارد: دارد
آیا این مقاله متغیر دارد: دارد
کد محصول: E11473
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


1- Introduction


2- Conceptual framework


3- Research model


4- Research method


5- Data analysis


6- Discussion, implications and future research


References

نمونه متن انگلیسی مقاله

Abstract


Many companies invest considerable resources in developing Business Analytics (BA) capabilities to improve their performance. BA can affect performance in many different ways. This paper analyses how BA capabilities affect firms’ agility through information quality and innovative capability. Furthermore, it studies the moderating role of environmental turbulence, both technological and in the market. The proposed model was tested using statistical data from 154 firms with two respondents (CEO and CIO) from each firm. The data were analysed using Partial Least Squares (PLS)/Structured Equation Modelling (SEM). Our results indicate that BA capabilities strongly impact a firm’s agility through an increase in information quality and innovative capability. We also discuss that both market and technological turbulence moderate the influence of firms' agility on firms' performance.


Introduction


Business analytics (BA) are overhauling the way firms are generating and using data (Ramanathan, Philpott, Duan, & Cao, 2017). They attracted increasing attention from both academics and practitioners for their high operational and strategic potential across various industries, including financial services, insurance, retail, healthcare and manufacturing (Dubey, Gunasekaran, Childe, Wamba, & Papadopoulos, 2016; Fosso Wamba, Ngai, Riggins, & Akter, 2017). BA can be defined as a holistic approach to manage, process and analyse data, not only to create actionable insights (adapted from Fosso Wamba, Akter, Edwards, Chopin, and Gnanzou, (2015)) but also to enable organisations to predict changes based on market requirements and respond to them quickly (Işık, Jones, & Sidorova, 2013). BA systems involve the use of capabilities and technologies to collect, transform, analyse and interpret data to support decision-making (Santiago Rivera & Shanks, 2015). BA are known as ‘competitive differentiators (Jeble et al., 2018),’ and both professional press and academic research consistently demonstrate a positive relationship between BA and organisational performance (Ramakrishnan, Jones, & Sidorova, 2012; Viaene & Van den Bunder, 2011). However, the way in which BA influence performance is not entirely clear and calls for further research (Abbasi, Sarker, & Chiang, 2016; Côrte-Real, Oliveira, & Ruivo, 2017; Gunasekaran et al., 2017). Earlier papers on this topic have established a generally positive impact on performance (Gupta & George, 2016; Trkman, McCormack, De Oliveira, & Ladeira, 2010), investigated the availability, quality, and use of information (Popovič, Hackney, Coelho, & Jaklič, 2012) or presented the benefits stemming therefrom (Wang, Kung, & Byrd, 2018) without investigating the path of influence. Thus, while there is substantial evidence that investments in business analytics can create value, the way in which BA lead to value needs deeper analysis (Sharma, Mithas, & Kankanhalli, 2014). In recent years, several attempts have been made to address this issue; Akter, Fosso Wamba, Gunasekaran, Dubey, and Childe, (2016) proposed a three-tier model to investigate the impact of big data analytics on firm performance by taking the moderating role of strategic alignment into account.

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