Investigating the relationships between service capabilities and financial statements indicators

Author:

Calabrese Armando1ORCID,Ghiron Nathan Levialdi1,Tiburzi Luigi1

Affiliation:

1. University of Rome Tor Vergata (IT), Rome, Italy

Abstract

This study analyses the relationships between service capabilities and financial statements indicators of 76 U.K. service providers belonging to the Standard Industry Classification (SIC) 49410 (‘Freight transport by road’). These firms were clustered in four different groups according to their service capabilities by employing content analysis on open secondary data. Then, statistical tests were employed to analyse whether groups with different service capabilities differ in key financial statements indicators. As the results show, economic-financial indicators (e.g., turnover) do not vary significantly between the groups, whereas differences arise in the number of employees and other asset-related indicators. It follows from these results that within the same SIC code, the various assortments of service capabilities do not have repercussions on the firms’ profitability; on the other hand, these assortments are correlated with firms’ size and infrastructure (e.g., magnitude of the Stock & W.I.P.). This research develops a heuristic approach using open secondary data to identify and classify service capabilities, and to investigate their relationship with financial statements indicators. This approach can be replicated in other business sectors thus supporting managers in identifying their firm’s capabilities and those of their competitors.

Publisher

SAGE Publications

Subject

Management Science and Operations Research,Organizational Behavior and Human Resource Management

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

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