E-government can utilise the many new technologies to offer better services. Given the potential benefits of e-government, it is crucial to understand how to successfully achieve agile responses with e-government systems. An agile response in e-government, is when government employees use technology and are very effective in their role. The transformation of technology and collaboration methods, driven by the e-government systems, forces government employees to reconsider their daily workflow and collaboration with colleagues.

Despite the extensive existing knowledge of technology usage and collaboration, there are limitations in explaining the synergy between technology usage and group collaboration in achieving agile responses, from the perspective of government employees.

To address these challenges, this study provides a holistic understanding of the successful pathway to an agile response in e-governance, from the perspective of government employees. Two parallel paths are needed to achieve an agile response in e-governance. This study identifies five layers of mechanisms that lead to an agile response in e-governance, considering both the government-employee technology usage path, and the group collaboration path.

Figure 1. Model of how to achieve an agile response in e-governance

The dual pathways are as follows: Level 5 is positioned at the bottom of the model. It includes the fundamental factors that contribute to an agile response in e-governance, including ease of use, usefulness, and being traceable. Traceable in this context is more related to government employees’ work flow.

Levels 2, 3, and 4, are the intermediate factors, which play a bridging role, and are mainly composed of system quality, technology mindfulness, software reliance, communication transparency, trust, and collaboration efficiency. Specifically, system quality, technology mindfulness, and software reliance belong to the government employee technology usage pathway, while communication transparency, trust, and collaboration efficiency belong to the government employee collaboration pathway.

Level 1, at the top of the model is the ultimate goal, an agile response in e-governance. This research shows that to achieve an agile response in e-government, both the perspective of government employee technology usage, and the perspective of group collaboration efficiency must be taken into account.

Reference
Bao Y., Cheng X., Su L. & Zarifis A. (2024) ‘Achieving employees’ agile response in e-governance: Exploring the synergy of technology and group collaboration’, Group Decision and Negotiation. https://doi.org/10.1007/s10726-024-09911-y (open access)

Dr Alex Zarifis

While ride-hailing platforms such as Didi, Uber, and Lyft have been with us for some years, it is an innovation that is still evolving, and customers beliefs on it, are still evolving also. Some are happy to use it, while others have some reservations.

Promoting the passengers’ trust in platform and customer citizenship behaviour (CCB) is both challenging and important. It refers to voluntary and discretionary behaviours that are not required for the successful production or delivery of the service, but that help the organization offering the service overall. In ride-hailing services, customer citizenship behaviour (CCB) is the voluntary behaviour of passengers, which is not necessary for the process of ride-hailing services.

This study looks at three aspects of the relationship of passengers’ trust in platform and customer citizenship behaviour (CCB): (1) What are the signals sent by the ride-hailing platforms that impact passengers’ trust in platform? (2) What are the dimensions of customer citizenship behaviour in the context of ride-hailing? (3) How does passengers’ trust in ride-hailing platforms influence their customer citizenship behaviour towards the platforms? The outcome of this research is the trust-customer citizenship behaviour (CCB) model in the ride-hailing context shown in figure 1.

The findings reveal that platforms can foster passengers’ trust by sending service-related signals (i.e., service quality and structure assurance) and a firm-related signal (i.e., platform reputation). Customer-company identification (CCI) mediates the relationship between passengers’ trust and customer citizenship behaviour (CCB), where passengers engage in CCB by providing recommendations, exhibiting forgiving behaviour, and providing feedback. Customer-company identification (CCI), is related to social identity theory, and refers to the positive and emotional attachment that passengers feel towards the values and concepts of a ride-hailing platform.

Additionally, firm-related signals, including platform size and reputation, enhance the positive relationship between trust and customer-company identification (CCI). These findings contribute to the body of knowledge on trust, customer citizenship behaviour (CCB), and signalling theory, and offer practical guidance to ride-hailing platforms.

Understanding how to build trust, and the specific benefits of a trusting relationship, encourages ride-hailing companies to work harder to build trust better. It also shows customers of these services the power they have, and how important they are to the success of these companies.

Reference
Su L., Cheng X. & Zarifis A. (2025) ‘Passengers as defenders: Unveiling the role of customer-company identification in the trust-customer citizenship behaviour relationship within ride-hailing context’, Tourism Management, vol.107, 105086. https://doi.org/10.1016/j.tourman.2024.105086
(open access)