مدلهای کسب و کار در شرکت های تجارت به تجارت
ترجمه نشده

مدلهای کسب و کار در شرکت های تجارت به تجارت

عنوان فارسی مقاله: قابلیت رقمی سازی و دیجیتالی شدن مدلهای کسب و کار در شرکت های تجارت به تجارت: گذشته، حال و آینده
عنوان انگلیسی مقاله: Digitization capability and the digitalization of business models in business-to-business firms: Past, present, and future
مجله/کنفرانس: مدیریت بازاریابی صنعتی – Industrial Marketing Management
رشته های تحصیلی مرتبط: مدیریت
گرایش های تحصیلی مرتبط: مدیریت بازرگانی، مدیریت کسب و کار
کلمات کلیدی فارسی: رقمی سازی، دیجیتالی شدن، مدل کسب و کار، بازاریابی تجارت به تجارت
کلمات کلیدی انگلیسی: Digitization، Digitalization، Business model، Business-to-business marketing
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.indmarman.2019.11.019
دانشگاه: Department of Strategy and Innovation, Copenhagen Business School, Kilevej 14A, DK-2000 Frederiksberg, Denmark
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 6.511 در سال 2018
شاخص H_index: 114 در سال 2019
شاخص SJR: 2.375 در سال 2018
شناسه ISSN: 0019-8501
شاخص Quartile (چارک): Q1 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 11
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14095
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


۱٫ Introduction


۲٫ Digitization vs. digitalization


۳٫ Digitization capability


۴٫ Digitalization


۵٫ Development of digitalization in business-to-business firms


۶٫ Future research


۷٫ Managerial implications and concluding remarks


Acknowledgment


References

نمونه متن انگلیسی مقاله

Abstract


While the use of data in business-to-business marketing is not a new phenomenon, the digitization and digitalization of business-to-business firms’ business models have recently attracted a great deal of attention. With the aim of creating an overview and consolidating this stream of research, the present paper offers a brief historical overview of research on digitization and digitalization in business-to-business markets – concluding that this discussion has a long tradition and, thus, is not a new phenomenon. We develop a definition of digitization capability as a basis for discussing how a firm’s digitization capability interacts with its business model to allow for data-enabled growth, i.e. its digitalization, and we highlight promising avenues for future research.


Introduction


Digital technologies have changed the way business-to-business firms act in business markets in terms of what they sell (their value propositions, e.g., Gandhi, Thota, Kuchembuck, & Swartz, 2018) and how they sell it (their value demonstrations, e.g., Syam & Sharma, 2018)—and they also pose new requirements to a firm’s capabilities. Although the topic of digitalization is currently prominent in the minds of many practitioners and academics, digitization and the digitalization of business are not new topics of interest.1 One of the earliest applications of computing power in business was the computerized registration of 26 million US citizen’s employment records by IBM equipment to support the Social Security Act in 1935.2 Similarly, the first conference on artificial intelligence was held at Dartmouth in 1956. Hence, topics like big data (i.e., large amounts of data) and artificial intelligence have been discussed for decades and, therefore, have long been fields of interest for practitioners and academics alike. As such, the current focus on the notion of data-driven disruption is not an issue of “newness.” Instead, it is most likely related to the growth in available data made possible through access to cost-efficient equipment for data collection and access to computing power needed to handle analytics: more data exist today than have done so before in history (Smolan & Erwitt, 2012) – and approximately 5 billion gigabytes were generated from the beginning of recorded history until 2003, whereas 5 billion gigabytes of data were claimed to be generated every 10 seconds in 2015 (Zwitter, 2014). Therefore, growing academic interest into the topic arguably reflects this empirical trend—although it has long been accepted that technology is altering the nature of competition resulting in a ‘new competitive landscape’ (Bettis & Hitt, 1995), albeit the evolutionary nature of competitive change is arguably reflected in different phases (Table 1).

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