Towards Big Data: Digitising Economic and Business History

Author:

Eloranta JariORCID,Nevalainen PasiORCID,Ojala JariORCID

Abstract

This chapter describes the experiences in computational and digital history of economic and business historians who for decades have been forerunners in digital history data gathering and computational analysis. It attempts to discuss the major developments within this area internationally and, in some specific cases, in Finland in the fields of digital economic and business history. It concentrates on a number of research projects that the authors have previously been involved in, as well as research outcomes by other economic and business historians within Finland and elsewhere. It is not claimed that the projects discussed are unique or ahead of their time in the field of economic and business history—on the contrary they are representing a more general state of the art within the field and used as illustrative cases illuminating the possibilities and challenges facing historians in the digital era.

Publisher

Helsinki University Press

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Between the number and the word: quantitative methods in business history revisited;Revista de Historia Industrial — Industrial History Review;2023-07-14

2. Business history and social media: A concise review;Management & Organizational History;2023-01-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3