Skip to main content

Research Repository

Advanced Search

Outputs (159)

(Im)migrants’ appropriation of culture: Reciprocal influence of personal and work contexts (2022)
Journal Article
Dey, B. L., Apostolidis, C., Nasef, Y. T., Samuel, L., Singh, P., & Brown, D. M. (2022). (Im)migrants’ appropriation of culture: Reciprocal influence of personal and work contexts. Journal of World Business, 58(2), Article 101417. https://doi.org/10.1016/j.jwb.2022.101417

Increasing internationalisation in organisations demands further research on acculturation within international business (IB). Based on triangulated qualitative data on South Asian diasporas’ food consumption in the UK and Bahraini contexts, we intro... Read More about (Im)migrants’ appropriation of culture: Reciprocal influence of personal and work contexts.

The secrets to successful entrepreneurship: How occupational experience shapes the creation and performance of start-ups (2022)
Journal Article
Wu, Y., Maas, G., Zhang, Y., Chen, F., Xia, S., Fernandes, K., & Tian, K. (2023). The secrets to successful entrepreneurship: How occupational experience shapes the creation and performance of start-ups. International Journal of Entrepreneurial Behavior & Research, 29(2), 354-384. https://doi.org/10.1108/ijebr-09-2021-0748

Purpose Previous experience is a critical factor affecting entrepreneurial activities; however, it has not been fully studied in the existing literature. This study attempts to comprehensively reveal the routes and mechanisms of occupational experien... Read More about The secrets to successful entrepreneurship: How occupational experience shapes the creation and performance of start-ups.

Board of Director Effectiveness and Informal Institutions: A Meta-analysis (2022)
Journal Article
Solarino, A., & Boyd, B. (2023). Board of Director Effectiveness and Informal Institutions: A Meta-analysis. Global Strategy Journal, 13(1), 58-89. https://doi.org/10.1002/gsj.1468

Research Summary: Board independence is central to corporate governance. Numerous theories espouse the value of the monitoring and advice provided by outside board members, and governance codes worldwide call for boards with more independent director... Read More about Board of Director Effectiveness and Informal Institutions: A Meta-analysis.

Equivalence in International Business Research: A Three-step approach (2022)
Journal Article
Solarino, A., & Buckley, P. (2023). Equivalence in International Business Research: A Three-step approach. Journal of International Business Studies, 54(3), 550-567. https://doi.org/10.1057/s41267-022-00562-2

A primary research area within the field of international business (IB) is to establish the extent to which concepts, theories, and findings identified in one country are applicable to other contexts and which are unique and cannot be found in other... Read More about Equivalence in International Business Research: A Three-step approach.

Socio-technical capabilities for blockchain implementation by service providers: multiple case study of projects with transaction time reduction and quality improvement objectives (2022)
Journal Article
Chaudhuri, A., Bhatia, M. S., Subramanian, N., Kayikci, Y., & Dora, M. (2024). Socio-technical capabilities for blockchain implementation by service providers: multiple case study of projects with transaction time reduction and quality improvement objectives. Production Planning and Control, 35(9), 978-991. https://doi.org/10.1080/09537287.2022.2128865

The objectives of this paper are to analyse how blockchain can help in transaction time reduction and quality improvement in supply chains. It also aims to identify the social and technical capabilities needed by the service providers for blockchain... Read More about Socio-technical capabilities for blockchain implementation by service providers: multiple case study of projects with transaction time reduction and quality improvement objectives.

Fathoming empirical forecasting competitions’ winners (2022)
Journal Article
Alroomi, A., Karamatzanis, G., Nikolopoulos, K., Tilba, A., & Xiao, S. (2022). Fathoming empirical forecasting competitions’ winners. International Journal of Forecasting, 38(4), 1519-1525. https://doi.org/10.1016/j.ijforecast.2022.03.010

The M5 forecasting competition has provided strong empirical evidence that machine learning methods can outperform statistical methods: in essence, complex methods can be more accurate than simple ones. This result, be as it may, challenges the flags... Read More about Fathoming empirical forecasting competitions’ winners.

Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review (2022)
Journal Article
Zamani, E. D., Smyth, C., Gupta, S., & Dennehy, D. (2023). Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review. Annals of Operations Research, 327(2), 605-632. https://doi.org/10.1007/s10479-022-04983-y

Artificial Intelligence (AI) and Big Data Analytics (BDA) have the potential to significantly improve resilience of supply chains and to facilitate more effective management of supply chain resources. Despite such potential benefits and the increase... Read More about Artificial intelligence and big data analytics for supply chain resilience: a systematic literature review.

Affective temporal experiences and new work modalities: The role of Information and Communication Technologies (2022)
Journal Article
Zamani, E. D., & Spanaki, K. (2023). Affective temporal experiences and new work modalities: The role of Information and Communication Technologies. Journal of Business Research, 154(113311), https://doi.org/10.1016/j.jbusres.2022.113311

As a result of the Covid-19 pandemic, new ways of working emerged, such as fully remote to hybrid work. As the restrictions with regards to the spatial dimension of work become less rigid, the temporal dimension surfaces as one of the more important... Read More about Affective temporal experiences and new work modalities: The role of Information and Communication Technologies.

RAMONES and Environmental Intelligence: Progress Update (2022)
Book Chapter
Mertzimekis, T., Lagaki, V., Madesis, I., Siltzovalis, G., Petra, E., Nomikou, P., …Maigne, L. (2022). RAMONES and Environmental Intelligence: Progress Update. In GoodIT '22: Proceedings of the 2022 ACM Conference on Information Technology for Social Good (244-249). ACM. https://doi.org/10.1145/3524458.3547255

RAMONES is an EU H2020 FET Proactive Project which aims to offer a new fleet of instruments to perform continuous and in situ measurements of natural and artificial radioactivity in the marine environment as part of its main objectives. Those instrum... Read More about RAMONES and Environmental Intelligence: Progress Update.

(Un)conditional collection policies on used products with strategic customers (2022)
Journal Article
Dong, C., Lei, Y., & Liu, Q. (2023). (Un)conditional collection policies on used products with strategic customers. Production and Operations Management, 32(1), 82-97. https://doi.org/10.1111/poms.13826

For generation products characterized by frequent releases of new versions, when a new version is introduced to the market, the current version usually still has a remaining useful life. This creates a challenge for a firm to manage used product coll... Read More about (Un)conditional collection policies on used products with strategic customers.

Statistical, Machine Learning and Deep Learning forecasting methods: Comparisons and ways forward (2022)
Journal Article
Makridakis, S., Spiliotis, E., Assimakopoulos, V., Semenoglou, A.-A., Mulder, G., & Nikolopoulos, K. (2023). Statistical, Machine Learning and Deep Learning forecasting methods: Comparisons and ways forward. Journal of the Operational Research Society, 74(3), 840-859. https://doi.org/10.1080/01605682.2022.2118629

The purpose of this paper is to test empirically the value currently added by Deep Learning (DL) approaches in time series forecasting by comparing the accuracy of some state-of-the- art DL methods with that of popular Machine Learning (ML) and stati... Read More about Statistical, Machine Learning and Deep Learning forecasting methods: Comparisons and ways forward.

Technology as a Catalyst for Sustainable Social Business: Advancing the Research Agenda (2022)
Journal Article
Apostolidis, C. (2022). Technology as a Catalyst for Sustainable Social Business: Advancing the Research Agenda. Technological Forecasting and Social Change, 183, Article 121946. https://doi.org/10.1016/j.techfore.2022.121946

This guest editorial presents an introduction to the topic and overview of the papers in this Special Issue of Technological Forecasting & Social Change on Technology as a Catalyst for Sustainable Social Business. In this introduction, we review the... Read More about Technology as a Catalyst for Sustainable Social Business: Advancing the Research Agenda.

Blazing the Trail: Considering Browsing Path Dependence in Online Service Response Strategy (2022)
Journal Article
Zuo, M., Angelopoulos, S., Liang, Z., & Ou, C. (2023). Blazing the Trail: Considering Browsing Path Dependence in Online Service Response Strategy. Information Systems Frontiers, 25, 1605–1619. https://doi.org/10.1007/s10796-022-10311-3

Competition on e-commerce platforms is becoming increasingly fierce, due to the ease of online searching for comparing products and services. We examine how the sequential browsing behavior of consumers can enable targeted marketing strategies on e-c... Read More about Blazing the Trail: Considering Browsing Path Dependence in Online Service Response Strategy.

From Chalk to Clicks - The impact of (rapid) technology adoption on employee emotions in the higher education sector (2022)
Journal Article
Apostolidis, C., Devine, A., & Jabbar, A. (2022). From Chalk to Clicks - The impact of (rapid) technology adoption on employee emotions in the higher education sector. Technological Forecasting and Social Change, 182, Article 121860. https://doi.org/10.1016/j.techfore.2022.121860

Drawing on Appraisal Theory, this study explores the psychological impact of technology adoption during the first year of the COVID-19 pandemic on UK Higher Education (HE) employees. Using sentiment analysis, we analyse approximately 9,000 tweets foc... Read More about From Chalk to Clicks - The impact of (rapid) technology adoption on employee emotions in the higher education sector.

Towards a Theory of Ecosystem Catalyst (2022)
Presentation / Conference Contribution
Savaget, P., & Pitsis, T. (2022, August). Towards a Theory of Ecosystem Catalyst. Presented at 82nd Annual Meeting of the Academy of Management, Seattle, WA

Organizational growth, size, and longevity are core assumptions within the notion of ‘scale’ within the entrepreneurship literature. The concept of scale, however, has limited use when taken-for-granted in the social impact context because it neglect... Read More about Towards a Theory of Ecosystem Catalyst.

Do Country-level Institutions Influence YouTubers as Digital Entrepreneurs? (2022)
Presentation / Conference Contribution
Aparicio, S., Noguerra, M., Scott, S., Munoz-Mora, J., & Urbano, D. (2022, August). Do Country-level Institutions Influence YouTubers as Digital Entrepreneurs?. Presented at 82nd Annual Meeting of the Academy of Management: Creating a Better World Together, Seattle, Washington

Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study (2022)
Journal Article
Fenton, A., Cooper-Ryan, A. M., Hardey, M. (., & Ahmed, W. (2022). Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study. International Journal of Environmental Research and Public Health, 19(14), Article 8417. https://doi.org/10.3390/ijerph19148417

Background: The last decade has seen a dramatic shift toward the study of fitness surveillance, thanks in part to the emergence of mobile health (mHealth) apps that allow users to track their health through a variety of data-driven insights. This stu... Read More about Football Fandom as a Platform for Digital Health Promotion and Behaviour Change: A Mobile App Case Study.

The stakeholder’s roles in risk management related to food supply chain recalls: a systematic literature review (2022)
Journal Article
Oliveira, L., Silva, A. D., Pereira, C. R., & Chaudhuri, A. (2023). The stakeholder’s roles in risk management related to food supply chain recalls: a systematic literature review. The International Journal of Logistics Management, 34(1), 106-129. https://doi.org/10.1108/ijlm-05-2021-0261

Purpose: Food supply chains (FSCs) are becoming increasingly complex and vulnerable to recall risks due to quality failures. Measures for supply chain risk management can minimize these recall risks. However, this responsibility must be shared by all... Read More about The stakeholder’s roles in risk management related to food supply chain recalls: a systematic literature review.