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To develop the notion of centrality in e‐government (EG) research, and to base the identification of central research areas on that principle. To pave the path towards a more integrated understanding of EG and its phenomena.

The paper analyzes which disciplines contribute to EG. It scrutinizes the scope and orientation of disciplines involved and invested EG. Key high‐level variables in EG are derived from the literature. It is analyzed to what extent major EG phenomena are impacted by those variables and their interaction, which leads to the development of the principle of centrality. Central research areas of EG are identified based on the centrality principle. The integrative interdisciplinary research approach in EG is linked to trends in global science.

The paper finds the areas of transformation, integration, participation, and (information) preservation to be central to EG. It also identifies strong drivers in central EG research towards an integrative interdisciplinary approach.

A systematic review of the extant EG literature is still missing but could be guided by the centrality principle.

When addressing the central areas, EG might manage to develop into an integrative science. In that case, its research results would likely be highly relevant to government practice and academia alike.

The paper develops and defines the principle of centrality in EG research. It identifies central research areas in EG and distinguishes those from non‐central research areas in EG. In so doing, the paper provides guidance and focus, particularly, for integrative EG research.

Although close customer–company interactions are essential sources of value creation, their effect on well-being, depending on fair treatment by the service employee, has not been established. This research identifies two customer-centric, proactive, market orientation strategies that might accelerate the positive effects of fairness perceptions in service encounters.

Two experimental studies investigate if customer participation and price savings can boost the positive effects of fairness or compensate for the negative influence of unfairness, through customers’ word of mouth, on hedonic well-being.

The results show that high levels of customer participation can boost customers’ well-being, but monetary compensation in the form of price savings cannot offset low fairness experienced during the service encounter. Service firms benefit directly from increased word of mouth when customers perceive high fairness; customers benefit indirectly from increased hedonic well-being.

This research contributes to academic debates about the extent to which transformative services contribute to consumer well-being. By linking service fairness perceptions to value co-creation and well-being, it also advances research on power distribution in service ecosystems. Finally, this study contributes to services literature by identifying customer participation as a feasible way to increase consumers’ hedonic well-being.

Disasters of catastrophic scope and scale have occurred more frequently in recent years. Governmental and non-governmental response management has struggled, and affected communities have severely suffered during extreme events. Colossal damage and loss of lives have been inflicted, and the recovery efforts require extended periods of time. In post hoc analyses, actionable information has been found a critical resource requiring resilient information infrastructures (RIIs) that do not break down even under extreme duress. RIIs encompass both tangible and less tangible (for example, social) elements. The purpose of this paper is to pave the way for empirical research on the subject and to conceptually develop a framework for the analysis of information infrastructures and their resiliency, when impacted by catastrophic incidents (also known as extreme events).

The authors review the literatures of disaster research and related fields. They synthesize the literatures from the information perspective and develop a framework of RII.

The synthesis revealed that extreme event-ready RIIs have to be redundant and resourceful both in terms of social, organizational, and knowledge assets as well as in the information and communication technologies. RIIs combine tangible and non-tangible elements, whose interplay is so far incompletely understood.

Roles and criticality of RIIs under the impact of an extreme event need to be studied empirically.

The study holds the promise to be of great potential utility for responders and recovery managers as well as affected communities in preparedness, response, recovery, and mitigation efforts as timely and actionable information is still the scarcest and most sought resource during a catastrophic incident.

Disaster research so far has mostly focused on the technical, organizational, social, and socio-psychological effects of disasters. The authors are adding the information perspective as a unique and distinctive contribution to extreme event research, which connects the tangible elements of information infrastructures with its not so tangible elements, captures their interplay, and analyzes their role and criticality for the resiliency of the information infrastructures when under extreme duress.

The effects of the COVID-19 pandemic on cities have transformed the lives of urban societies across the globe. One of such effects has been the redefinition of access and urban mobility patterns, exposing divides and inequalities along the lines of class, gender and social positions. In Latin America, long-term lockdowns and widespread containment-oriented restrictions have deepened already acute conditions of poverty and deprivation. Low-income and socially vulnerable households and individuals in countries such as Colombia find themselves unable, or in a disadvantaged position, to work from home, access goods and services securely and avoid transport modes that increase exposure to contagion. This chapter examines inequalities in urban mobility and access to essential opportunities in urban settings in Colombia, through data collected from 3,900 respondents to a web survey organised during the national lockdown in the country in April 2020. The chapter presents a Latent Class Analysis model exploring how intersecting differences in class, gender, ethnicity, age and other relevant socioeconomic characteristics, influence the degree of adaptability and capacity to adapt to the challenging conditions posed by COVID-19 for physical travel and carrying out everyday activities. Building on three distinct classes of mobility and access-related conditions, the chapter reflects on structural inequalities associated with Colombian cities’ urban form, functional and productive structures and its wide social gaps. The chapter builds on empirical findings to reflect on urban policy and discuss avenues for addressing social and spatial inequalities worsened by the pandemic.

The purpose of this study is to develop an immune genetic algorithm (IGA) to solve the simple assembly line balancing problem of type 1 (SALBP-1). The objective is to minimize the number of workstations and workstation load for a given cycle time of the assembly line.

This paper develops a new solution method for SALBP-1, and a user-defined function named ψ(·) is proposed to convert all the individuals to satisfy the precedence relationships during the operation of IGA.

Computational experiments suggest that the proposed method is efficient.

An IGA is proposed to solve the SALBP-1 for the first time.

Customer experience (CX) has become a major concern of business managers around the world and is considered a determinant factor of continuing corporate success. Despite the growing number of research studies focusing on the topic, knowledge remains underexamined in general, and specifically in terms of online users. Understanding how online platforms inspire travel experience is increasingly pertinent as visual contents acquire insignificance. This is especially relevant when travel is restricted such as during the COVID-19 outbreak. Nevertheless, there is a gap in the literature research on online CX in online visitor attractions. The study aimed to investigate the visitors' reviews of online visits during the lockdown. The research has followed the Netnography approach as modern qualitative research to understand the online CX of visiting virtually the attractions.

The results revealed three dimensions of cyber-tourist experiences related to the tourism-driven with its four subdimensions, the emotional reaction and expectation, and satisfaction and behavior intentions. The study adds to the better knowledge of the modern research methods dealing with the cyber-customer experience (CCX) by examining the Netnography method.

This research is a pioneering attempt to mitigate the impact of COVID-19 on tourists' experience and to highlight the opportunities for tourism practitioners to profit from the online presence, to be more accessible, and to increase their traffic to guaranty their online visibility.

Rabbit chase (RC) is used as one of the most effective techniques in manufacturing systems, as such systems have high level of adaptability and increased productivity in addition to providing uniform workload balancing and skill improving environment. In assembly systems, RC inspires the development of walking worker assembly line (WWAL). On the other hand, U-type assembly lines (UALs) may provide higher worker utilization, lower space requirement and more convenient internal logistics when compared to straight assembly lines. In this context, this study aims to improve assembly line performance by generating RC cycles on WWAL with respect to task assignment characteristics of UAL within reasonable walking distance and space requirement. Therefore, a novel line configuration, namely, segmented rabbit chase-oriented U-type assembly line (SRCUAL), emerges.

The mathematical programming approach treats SRCUAL balancing problem in a hierarchical manner to decrease computational burden. Firstly, segments are generated via the first linear programming model in the solution approach for balancing SRCUALs to minimize total number of workers. Then, stations are determined within each segment for forward and backward sections separately using two different pre-emptive goal programming models. Moreover, three heuristics are developed to provide solution quality with computational efficiency.

The proposed mathematical programming approach is applied to the light-emitting diode (LED) luminaire assembly section of a manufacturing company. The adaptation of SRCUAL decreased the number of workers by 15.4% and the space requirement by 17.7% for LED luminaire assembly system when compared to UAL. Moreover, satisfactory results for the proposed heuristics were obtained in terms of deviation from lower bound, especially for SRCUAL heuristics I and II. Moreover, the results indicate that the integration of RC not only decreased the number of workers in 40.28% (29 instances) of test problems in U-lines, but also yielded less number of buffer points (48.48%) with lower workload deviation (75%) among workers in terms of coefficient of variation.

This study provides convenience for capacity management (assessing capacity and adjusting capacity by changing the number of workers) for industrial SRCUAL applications. Meanwhile, SRCUAL applications give the opportunity to increase the capacity for a product or transfer the saved capacity to the assembly of other products. As it is possible to provide one-piece flow with equal workloads via walking workers, SRCUAL has the potential for quick realization of defects and better lead time performance.

To the best of the authors’ knowledge, forward–backward task assignments in U-type lines have not been adapted to WWALs. Moreover, as workers travel overall the line in WWALs, walking time increases drastically. Addressing this research gap and limitation, the main innovative aspect of this study can be considered as the proposal of a new line design (i.e. SRCUAL) which is sourced from the hybridization of UALs and WWAL as well as the segmentation of the line with RC cycles. The superiority of SRCUAL over WWAL and UAL was also discussed. Moreover, operating systematic for SRCUAL was devised. As for methodical aspect, this study is the first attempt to solve the balancing problem for SRCUAL design.