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In this paper, I explore what shapes the identities of digital nomads (DNs), a class of remote workers who travel and work concurrently. Through extensive fieldwork and interviews with 50 digital nomads conducted in seven coworking hostels in Mexico in 2022, I construct a theory of DN identity. I base this upon the frequent transformations they undergo in their Circumstances, which regularly change their worker identity.

DNs relinquish traditional social determinants of identity, such as nationality and religion. They define their personal identities by their passions and interests, which are influenced by the people they meet. DNs exist in inherently transitive social spaces and, without rigid social roles to fulfil, they represent themselves authentically. They form close relationships with other long-term travellers to combat loneliness and homesickness. Digital nomads define their worker identities around their location independence. This study shows that DNs value their nomadic lifestyle above promotions and financial gain. They define themselves by productivity and professionalism to ensure the sustainability of their lifestyle. Furthermore, digital nomad coworking hubs serve focused, individual work, leaving workplace politics and strict ‘office image’ norms behind. Without fixed social and professional roles to play, digital nomads define themselves personally according to their ever-evolving passions and the sustainability of their nomadic life. Based on these findings, I present a cyclical framework for DN identity evolution which demonstrates how relational, logistical, and socio-personal flux evolves DN’s worker identities.

This study aims to achieve broad insights into perceptions and attitudes of Turkish digital immigrants (DI) and digital natives (DN) toward native advertising (NA) format.

Based on extant review of literature, semi-structured interview questions helped to solicit subjective interpretations, perceptions and attitudes of Turkish consumers toward NA format. In-depth interviews with 36 participants were conducted.

The study gains new knowledge on issues related to NA format, such as self-determination of viewing, privacy and accuracy of information. Findings provide whys and wherefores for these undiscovered issues, as well as for preexisting themes such as format recall and recognition, disclosure, communication/marketing aims, attitudes toward NA format, brand and publisher, NA placement and “nativity” of the format. In terms of perceptions and attitudes of DIs and DNs, both similarities and differences exist. DNs consider viewing NA content under their own initiative, so their perceptions and attitudes toward NA are shaped accordingly.

The interviews were carried out in a single setting; with a convenience sample of consumers living in Izmir, Turkey. Certain age and education levels were considered desirable as main criteria for selection.

The study identifies consumer concerns on the NA format and content; and provides suggestions for advertisers, publishers and ad professionals on disclosure, relevancy and frequency of exposure, which can be applied in practice. Implications for public policy are also discussed.

This is the first known study to explore perceptions and attitudes of DIs and DNs toward NA format in the Turkish context. This study uncovers and discusses insights into underlying reasons of DI/DNs’ perceptions and attitudes. The study extends prior findings of quantitative research on NA, offering fruitful insights for future research.

This study explores the differences between digital immigrants (DIs) and digital natives (DNs) in the continuance of routine and innovative information system use.

A quantitative survey was conducted with two different samples comprising 100 DIs and 152 DNs in mandatory information system use contexts. Data were analyzed with structural equation modeling to examine the hypothesized relationships in the research model.

Results revealed differences among digital nativity groups. The effect of confirmation of expectations about system use on satisfaction is stronger for DNs whereas the effect on task–technology fit (TTF) is similar in both digital groups. Interestingly, significant differences between digital nativity groups occur in routine use. For DIs, TTF and habit are significant while for DNs, satisfaction significantly affects routine use. The results show no difference between digital native groups regarding innovative use.

This study extends the concept of digital nativity to routine and innovative system use, contributing to an enhanced understanding about the differences in information systems continuance (ISC) based on digital nativity. It also provides a fine-grained discussion of how to classify digital nativity and its impact in working contexts and extends the IS continuance model by considering two types of IS usage.

This paper explores how firms develop and mature sustainable supply chains (SSCs) in developing nations (DNs). The primitive resources, infrastructures and understanding of SSCs in DNs often hinder both the ability of SSCs to mature and their effectiveness in delivering environmental, social and economic goals. The purpose of this paper is to address these issues.

Through the supply chain life cycle (SCLC) lens, the authors analyzed an embedded case study of a Vietnamese end-to-end food supply chain (using 32 semi-structured interviews and archival data) and interviewed senior leadership of three other food companies in early 2019. A post hoc study including five reinterviews in the same Vietnamese case company's supply chain also further validated the study in 2021.

The authors’ analyses reveal that changes in DN stakeholders' behaviors can quickly move firms' SSCs along the SCLC closer toward a mature stage, in which firms and their network stakeholders can create more sustainable value. They also identify strategies for firms to consider when developing their SSCs to activate these behavioral changes.

While many authors discuss SSCs' benefits for the environment and society, few assess how firms can design and operate SSCs effectively given the limited resources, infrastructures and SSC knowledge in DNs. This paper offers a compelling framework focusing on engaging various DNs' stakeholders to understand the life cycle of SSCs in less developed countries, in order to accelerate DNs' firms through early development toward a more SSC.

This study aims to address the problem of the divergence of traditional inertial navigation system (INS)/celestial navigation system (CNS)-integrated navigation for ballistic missiles. The authors introduce Doppler navigation system (DNS) and X-ray pulsar navigation (XNAV) to the traditional INS/CNS-integrated navigation system and then propose an INS/CNS/DNS/XNAV deep integrated navigation system.

DNS and XNAV can provide velocity and position information, respectively. In addition to providing velocity information directly, DNS suppresses the impact of the Doppler effect on pulsar time of arrival (TOA). A pulsar TOA with drift bias is observed during the short navigation process. To solve this problem, the pulsar TOA drift bias model is established. And the parameters of the navigation filter are optimised based on this model.

The experimental results show that the INS/CNS/DNS/XNAV deep integrated navigation can suppress the drift of the accelerometer to a certain extent to improve the precision of position and velocity determination. In addition, this integrated navigation method can reduce the required accuracy of inertial navigation, thereby reducing the cost of missile manufacturing and realising low-cost and high-precision navigation.

The velocity information provided by the DNS can suppress the pulsar TOA drift, thereby improving the positioning accuracy of the XNAV. This reflects the “deep” integration of these two navigation methods.

This study is concerned with the direct numerical simulation (DNS) of a turbulent channel flow by an improved vortex in cell (VIC) method. The paper aims to discuss these issues.

First, two improvements for VIC method are proposed to heighten the numerical accuracy and efficiency. A discretization method employing a staggered grid is presented to ensure the consistency among the discretized equations as well as to prevent the numerical oscillation of the solution. A correction method for vorticity is also proposed to compute the vorticity field satisfying the solenoidal condition. Second, the DNS for a turbulent channel flow is conducted by the improved VIC method. The Reynolds number based on the friction velocity and the channel half width is 180.

It is highlighted that the simulated turbulence statistics, such as the mean velocity, the Reynolds shear stress and the budget of the mean enstrophy, agree well with the existing DNS results. It is also shown that the organized flow structures in the near-wall region, such as the streaks and the streamwise vortices, are favourably captured. These demonstrate the high applicability of the improved VIC method to the DNS for wall turbulent flows.

This study enables the VIC method to perform the DNS for wall turbulent flows.

This paper aims to address a location-distribution-routing problem for distributing relief commodities during a disaster under uncertainty by creating a multi-stage model that can consider information updates during the disaster. This model aims to create a relief network that chooses distribution centers with the highest value while maximizing equity and minimizing response time.

A hybrid algorithm of adaptive large neighborhood search (ALNS) and multi-dimensional local search (MDLS) is introduced to solve the problem. Its results are compared to ALNS and an augmented epsilon constraint (AUGMECON) method.

The results show that the hybrid algorithm can obtain high-quality solutions within reasonable computation time compared to the exact solution. However, while it yields better solutions compared to ALNS, the solution is obtained in a little longer amount of time.

In this paper, the uncertain nature of some key features of the relief operations problem is not discussed. Moreover, some assumptions assumed to simplify the proposed model should be verified in future studies.

In order to verify the effectiveness of the designed model, a case study of the Sarpol Zahab earthquake in 2017 is illustrated and based on the results and the sensitivity analyses, some managerial insights are listed to help disaster managers make better decisions during disasters.

A novel robust multi-stage linear programming model is designed to address the location-distribution-routing problem during a disaster and to solve this model an efficient hybrid meta-heuristic model is developed.

This article aims to understand the opportunities as well as the challenges posed by the methods for internationalized access to domain names.

The paper first provides background information on how domain names are resolved in the domain name system (DNS). It then reviews the various methods for internationalized access to domain names with a focus on their technical implementation and potential problems. Finally, it discusses several important language and policy issues surrounding the methods.

The methods proposed for internationalized access to domain names can be classified into two groups: ASCII‐compatible encoding; and multilingual keywords. ASCII‐compatible encoding methods, such as the internationalized domain name (IDN) standards specified by the internet engineering task force, seem technically sound since they do not affect existing DNS operations, but they have some structural limitations. Multilingual keyword methods are rather simple and intuitive to use but they are not compatible with one another and so may return different results from the same multilingual keyword query. Also, both ASCII‐compatible encoding and multilingual keyword methods can raise some important issues associated with languages and policies, such as linguistic problems, disputes over IDNs, and multilingual homographs.

The issues discussed in this paper need to be addressed for broad and seamless implementation of the methods for internationalized access to domain names across various languages. The review of the methods and associated issues can prove helpful to those from internet users and domain name registrants to domain name registries and registrars.

The purpose of this paper is to systematically profile investors’ personality traits to examine if, and how, those traits are associated with phenomena observed in financial markets. In particular, the paper looks at overconfidence and overreaction in an experimental foreign exchange market.

The paper measures the personality of the subjects using the short form of the NEO-PIR instrument, the NEO-FFI developed by Costa and McRae (1992) which is based on Norman's (1963) “Big Five” personality constructs of negative emotion, extraversion, openness to experience, agreeableness and conscientiousness. The paper measures psychological gender using questions developed by Bem (1994). Preference for innovation and risk-taking propensity are measured using instruments developed by Jackson (1976). The paper then examines the behavior of the subject who traded interactively in “real time” in an interactive-simulated foreign exchange market where “price discovery” was instantaneous and pricing decisions were made instantaneously as items of news, determined by the researchers, were released.

The paper demonstrates that personality traits are associated with overconfidence and overreaction in financial markets. The paper presents meta-analysis which facilitates the development of a posteriori theories of how particular traits affect investment; there are important roles for risk-taking propensity, negative emotion, extraversion, masculinity, preference for innovation and conscientiousness.

A typical behavioral finance paper might find an empirical regularity in prices and, on the basis of such patterns, infer the underlying psychology motivating the behavior of investors. The approach differs from this caricature of the “typical” behavioral finance paper. The paper does not infer the underlying psychology of investors from patterns in prices. Rather, the paper learns about investors by systematically profiling their personality traits. The paper then demonstrates how those traits are associated with the prices generated by the investors the authors study. In focussing on the role of individual personality, the paper refocusses behavioral finance on the individuals who set prices.