Investigating and understanding the influence of supply chain analytics capabilities on firm performance in the tea sector in Sri Lanka

作者
Ayesh Wijenayake
出处
期刊:University of Bradford - Bradford Scholars
链接
摘要

Incorporating big data analytics into supply chain management practices is still relatively unexplored, impeding both its theoretical and practical implementations. Present study aims to investigate and conclude the impact of supply chain analytics management capabilities, supply chain analytics technology capability, supply chain analytics talent capability, process integration capability, and supply chain performance on the firm performance, relying on the resource-based view and dynamic capability theory. Data was gathered from 418 respondents using cross-sectional research approaches. Structural equation modelling techniques were applied to test hypothetical relationships. Therefore, the statistical results confirmed a significant positive impact of supply chain analytics management capabilities and supply chain performance on the firm performance. The significant negative impact of supply chain analytics technology. capabilities, supply chain analytics talent capabilities, and supply chain process integration on firm performance confirmed in this study. In addition, supply chain analytics management capabilities and supply chain analytics technology capabilities negatively impact supply chain performance. Thus, the impact of supply chain analytics talent capability and supply chain process integration positively impact supply chain performance. In addition, the researcher also tested and confirmed the positive mediating role of supply chain performance between supply chain analytics talent capabilities, supply chain process integration, and firm performance. Surprisingly, supply chain performance does not mediate the relationship between supply chain analytics management capabilities, supply chain analytics technology capabilities and firm performance. This study contributes to the existing literature by thoroughly introducing and analysing the core constituents of supply chain analytics capabilities and their relationships with the firm’s performance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
aaaa的应助被科研通管家采纳,获得20
刚刚
华仔的应助被科研通管家采纳,获得10
刚刚
高高的应助被科研通管家采纳,获得10
刚刚
刚刚
小二郎的应助被科研通管家采纳,获得10
1秒前
Lucas的应助被科研通管家采纳,获得10
1秒前
mong完成签到,获得积分10
1秒前
Owen的应助被科研通管家采纳,获得20
1秒前
爆米花的应助被科研通管家采纳,获得10
1秒前
芝诺的乌龟完成签到 ,获得积分0
1秒前
Pilule完成签到 ,获得积分10
3秒前
Verdant_Official完成签到,获得积分10
3秒前
传统的衬衫完成签到 ,获得积分10
5秒前
6秒前
hml123完成签到,获得积分10
6秒前
一向年光无限身完成签到,获得积分10
7秒前
刻苦的新烟完成签到 ,获得积分0
8秒前
dzzza完成签到,获得积分10
8秒前
zhabgyucheng完成签到,获得积分10
9秒前
dandan完成签到,获得积分10
9秒前
月影逝水发布了新的文献求助10
10秒前
LiM完成签到,获得积分10
11秒前
hhhh_xt完成签到,获得积分10
13秒前
风风完成签到,获得积分10
15秒前
曾经的安雁完成签到 ,获得积分10
16秒前
jiqipek完成签到,获得积分10
17秒前
GHX_1195979443完成签到 ,获得积分10
18秒前
Fran07完成签到,获得积分10
19秒前
无极微光的应助被AdamJie采纳,获得20
20秒前
我哈哈哈哈哈的应助被uri采纳,获得20
21秒前
22秒前
dandelion完成签到,获得积分10
23秒前
23秒前
甜甜沛岚完成签到 ,获得积分10
24秒前
任泽旺完成签到,获得积分10
26秒前
26秒前
28秒前
LHC完成签到 ,获得积分10
29秒前
祁轩完成签到,获得积分10
29秒前
ther发布了新的文献求助10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Spec 401: Standards for Jet Fuel Facility and Equipment Commissioning and Flushing at Airports, 2026.1 (Original Issue) 1000
Spec 103: Standard for Jet Fuel Quality Control at Airports, Revision 2026.1 1000
Klimaschutzrecht durch den Energiesektor im Mehrebenensystem – Ein Rechtsvergleich 1000
Topological Photonics: Fundamentals and Applications 500
5th World Conference on Detergents: Reinventing the Industry : Opportunities and Challenges 500
Les Mots du discours 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8097666
求助须知:如何正确求助?哪些是违规求助? 9508250
关于积分的说明 21464525
捐赠科研通 7672382
什么是DOI,文献DOI怎么找? 3407242
关于科研通互助平台的介绍 2535277
邀请新用户注册赠送积分活动 2446786