Roman Podkorytov
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Roman Podkorytov has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Ron Chi-Wai Kwok
City University of Hong Kong
2 shared publications - Brent Moyle
Griffith University
1 shared publication - Florian J. Zach
Howard Feiertag Department of Hospitality and Tourism Management, Pamplin College of Business, Virginia Tech, Blacksburg, VA, USA
1 shared publication - Lujia Jin
School of Hotel and Tourism Management, Hong Kong Polytechnic University, Hong Kong SAR, China
1 shared publication - Simone Bianco
School of Hotel and Tourism Management, Hong Kong Polytechnic University, Hong Kong, SAR, China
1 shared publication - Weiwei Sun
School of Management, Harbin Institute of Technology, Harbin, China
1 shared publication
Latest Publications
- 6 November 2026
- Published by SAGE Publications in Journal of Travel Research
Pathways, Strategies, and Conditions: A Resource Reservoir Framework for Tourism Startup Ecosystems
Tourism startups are increasingly positioned as agents of renewal, yet existing theory offers limited insight into how these ventures navigate external resource environments they depend on. Resource-based perspectives privilege internal capabilities, while ecosystem approaches treat entrepreneurial contexts as relatively undifferentiated. Drawing on 57 in-depth interviews, conducted in 2025, with founders and ecosystem coordinators across 26 countries, this study develops the Startup Ecosystem Resource Reservoir (SERR) framework. This framework theorizes tourism entrepreneurial environments along three analytical layers: a pathway layer distinguishing Endowed-Access Resources (allocated through gatekeeper selection) from Ambient-Access Resources (worked out through participation and relational labor); a strategy layer identifying three founder postures (substantive engagement, performative conformity, and pathway avoidance) through which ventures engage these pathways; and a conditioning layer in which a structurally bifurcated legitimacy regime (investor-track and industry-incumbent-track) and infrastructural conditions shape availability and posture viability across the reservoir.
- 6 November 2026
- Published by SAGE Publications in Journal of Travel Research
Pathways, Strategies, and Conditions: A Resource Reservoir Framework for Tourism Startup Ecosystems
Tourism startups are increasingly positioned as agents of renewal, yet existing theory offers limited insight into how these ventures navigate external resource environments they depend on. Resource-based perspectives privilege internal capabilities, while ecosystem approaches treat entrepreneurial contexts as relatively undifferentiated. Drawing on 57 in-depth interviews, conducted in 2025, with founders and ecosystem coordinators across 26 countries, this study develops the Startup Ecosystem Resource Reservoir (SERR) framework. This framework theorizes tourism entrepreneurial environments along three analytical layers: a pathway layer distinguishing Endowed-Access Resources (allocated through gatekeeper selection) from Ambient-Access Resources (worked out through participation and relational labor); a strategy layer identifying three founder postures (substantive engagement, performative conformity, and pathway avoidance) through which ventures engage these pathways; and a conditioning layer in which a structurally bifurcated legitimacy regime (investor-track and industry-incumbent-track) and infrastructural conditions shape availability and posture viability across the reservoir.
- Open Access
- 4 November 2022
- Published by Association for Computing Machinery (ACM)
- p. 52-57
Crisis Impact on Use of Technology. Evidence from Omnichannel Restaurant Sales during Covid-19 Pandemic
This paper shines the light on how the critical outbreak of Covid-19 pandemic affected restaurant consumer's purchase behaviour. With a focus on omnichannel food ordering technology the context captures the rapid development of online sales channels for restaurants in Hong Kong. Particularly focusing on integrated ordering technologies with digital payment capabilities, such as: mobile applications, website, QR code self-service ordering applications. We conduct a longitudinal field experiment between June 2020 and January 2022 in cooperation with one of the vendors for omnichannel point of sale systems (OPOSS) in Hong Kong. The result captures a panel dataset with the total number of 23 restaurants that have been opened in a continuous order throughout the pandemic. The fixed effect regression model employs an additional dataset on Covid-19 daily cases obtained from census Hong Kong SAR Government data. We apply a moderating effect based on the type of sales channel used in the restaurants. The results show that during the pandemic, some restaurants implemented omnichannel technology to sustain restaurant sales. We observe that consumers start to use omnichannel restaurant ordering technologies during the pandemic outbreak. More importantly, we find supporting evidence that after the outbreak, the omnichannel technology use behaviour among consumers remains continuous.
- 4 November 2022
- Published by Association for Computing Machinery (ACM)
- p. 52-57
Open AccessCrisis Impact on Use of Technology. Evidence from Omnichannel Restaurant Sales during Covid-19 Pandemic
This paper shines the light on how the critical outbreak of Covid-19 pandemic affected restaurant consumer's purchase behaviour. With a focus on omnichannel food ordering technology the context captures the rapid development of online sales channels for restaurants in Hong Kong. Particularly focusing on integrated ordering technologies with digital payment capabilities, such as: mobile applications, website, QR code self-service ordering applications. We conduct a longitudinal field experiment between June 2020 and January 2022 in cooperation with one of the vendors for omnichannel point of sale systems (OPOSS) in Hong Kong. The result captures a panel dataset with the total number of 23 restaurants that have been opened in a continuous order throughout the pandemic. The fixed effect regression model employs an additional dataset on Covid-19 daily cases obtained from census Hong Kong SAR Government data. We apply a moderating effect based on the type of sales channel used in the restaurants. The results show that during the pandemic, some restaurants implemented omnichannel technology to sustain restaurant sales. We observe that consumers start to use omnichannel restaurant ordering technologies during the pandemic outbreak. More importantly, we find supporting evidence that after the outbreak, the omnichannel technology use behaviour among consumers remains continuous.