Steven Day

729 citations
11 papers · 518 · h-index 8

Impact in

Papers in

Steven Day

10 papers receiving 495 citations

Peers

Steven Day
Comparison fields: 5 of 59
  • Marketing 267
  • Business and International Management 56
  • Strategy and Management 336
  • Industrial and Manufacturing Engineering 145
  • Industrial and Manufacturing Engineering 75
Replace Rogério Puga‐Leal with:
Rogério Puga‐Leal Portugal
Vivek Roy India
Adriana Marotti de Mello Brazil
Pratibha Wasan India
Essel Dacosta China
Sandra Figueira Australia
Daniel Faibil China
Bjørn Jæger Norway
Luay Jum’a Jordan
Luigi Tiburzi Italy
Steven Day relative to Rogério Puga‐Leal Portugal Rogério Puga‐Leal's profile →
Citations per field
00.5×3.7×
Rogério Puga‐Leal · 1×
Citations per year

Countries citing papers authored by Steven Day

Since Specialization
Citations

This map shows the geographic impact of Steven Day's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steven Day with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Day more than expected).

Fields of papers citing papers by Steven Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Day. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steven Day. The network helps show where Steven Day may publish in the future.

Co-authors

The 15 scholars most cited alongside Steven Day, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven Day Line = papers co-authored together Steven Day links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017279
2 2019133
3 202029
4 202224
5 202220
6 202215
7 20249
8 20247
9
A RESOURCE-BASED FRAMEWORK FOR ASSESSING THE EFFECTS OF ORGANIZATIONAL CULTURE ON FIRM PERFORMANCE: GHANAIAN SMALL BUSINESSES IN THE OIL AND GAS INDUSTRY
20191
10
How different disruptions moderate practices contributing to supply chain resilience
20201
11 20250

About Steven Day

Steven Day is a scholar working on Strategy and Management, Marketing, Industrial and Manufacturing Engineering, Sociology and Political Science and Management of Technology and Innovation, having authored 11 papers that have together received 518 indexed citations. Recurring topics across this work include Sustainable Supply Chain Management (5 papers), Sustainable Industrial Ecology (3 papers), Environmental Sustainability in Business (3 papers), Innovation Diffusion and Forecasting (2 papers), Digital Marketing and Social Media (2 papers), Service and Product Innovation (2 papers), Recycling and Waste Management Techniques (1 paper) and Entrepreneurship Studies and Influences (1 paper). The work is most often cited by research in Marketing (267 citations), Business and International Management (56 citations), Strategy and Management (336 citations), Industrial and Manufacturing Engineering (145 citations) and Industrial and Manufacturing Engineering (75 citations). Steven Day has collaborated with scholars based in United Kingdom, China and Netherlands. Frequent co-authors include Janet Godsell, Donato Masi, Yongyi Shou, Wanrong Zhang, İsmail Gölgeci̇, Xinyi Fan, Tong Li, Ajay Kumar, Lalitha Dhamotharan and Haiyan Wang. Their work appears in journals such as Business Strategy and the Environment, Sustainability, Technological Forecasting and Social Change, Industrial Management & Data Systems and Industrial Marketing Management.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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