Search results

The purpose of this study was to examine the internalization of group-level identities held by people who are on the sex offense registry and how these influence emotions and the willingness to accept treatment. The types and consequences of identities and stigmas are often examined at the individual level, but most people belong to groups that hold collective identities that can be detected in phrases such as “we, us, our,” etc.

Longitudinal data from 2008 to 2024 was used to examine registrant’s group identities. Interviews were conducted with 115 registrants and 40 of their family members, and narrative research analysis was used to assess how participants’ levels of liminality influence why some on the registry never come to see themselves as sex criminals.

Three group-level identities were found that corresponded with varying phases of liminality. The first group had a fixed mindset, no liminality and a strong sense of self. The second group of registrants had liminoid experiences, allowing them to change the way they saw themselves over time. This group had a growth mindset that believed change was attainable. The third group exhibited fixed mindset, as they either always saw themselves as sex criminals and required no transition or came to see themselves as sex offenders post-punishment.

To the best of the authors’ knowledge, there are no studies that have examined group-level identities among people convicted of sex crimes or what the consequences of group identities have on behavior.

Smart city services are supported by information and communication technologies (ICT) referred to as digital technologies which increasingly promise huge opportunities for growth but are faced with system alignment and data integration issues when providing digital services. Therefore, this study aims to use enterprise architecture (EA) in digital transformation of cities by developing an architecture to address system alignment and data integration in digital transformation of cities.

Qualitative method is applied to evaluate the presented architecture based on electric-mobility (e-mobility) scenario, and data was collected using case study via interviews from a municipality in Norway to validate the applicability of EA for digital transformation of city services.

Findings from the interviews were represented in ArchiMate language to model the digital transformation of e-mobility in smart cities. Findings suggest that the architecture serves as a guide to recommend urban administrators of the potential of EA and digital transformation in addressing system alignment and data integration issues in smart cities.

Data used in this study is from a single case, hence there is a need to evaluate the application of EA for digital transformation of city services with data collected from multi-cases.

This study adopts enterprise architecture approach to support city transformation as it has been widely applied by institutions to align business and ICT components.

This study provides implication on how municipalities can use EA and digital transformations towards a sustainable smart city.

An architecture is presented that can be used as a guide to help urban developers and designers in deploying sustainable transport policies for smart cities. Additionally, EA is used to foster digitalization towards achieving system alignment and data integration in cities to support urban environment as they digitally transform services provided to citizens.

Our hedonic and emotional evaluations of the foods we encounter in daily life are predictive of whether we will choose to consume these foods in the future. Given the context-dependent nature of these evaluations and the rise in studies set in naturalistic and ecologically valid consumption settings, it is crucial that we examine the impact of contextual variables on our current consumer emotion measurement methods.

Three important factors that influence meal-evoked emotion – meal time, location and social setting – were explored via online survey of 866 English-speaking adults from all over the world. Respondents were asked to recall three meals they had consumed in the past week and report on their subjective liking and emotional associations. Subjective liking was measured with a labelled affective magnitude scale and emotion was measured using EsSense25.

Dinner meals, meals eaten at the home of a family member or friend, and meals eaten with one's spouse or partner were rated highest in subjective liking. Meals eaten at work or alone were associated with the lowest intensities of positive emotion.

The majority of investigations into meal context and emotion have measured consumers' emotional associations in the moment and in the laboratory. The present study characterises the influence of contextual variables on the emotional associations of past eating experiences in naturalistic settings.

The aim of this study is to propose a governance model and key performance indicators on how policymakers can contribute to a more accessible, inclusive and sustainable mobility within and across smart cities to examine sustainable urban mobility grounded on the rational management of public transportation infrastructure.

This study employed desk research methodology grounded on secondary data from existing documents and previous research to develop a sustainable mobility governance model that explores key factors that influence future urban policy development. The collected secondary data was descriptively analyzed to provide initiatives and elements needed to achieve sustainable mobility services in smart cities.

Findings from this study provide evidence on how cities can benefit from the application of data from different sources to provide value-added services to promote integrated and sustainable mobility. Additionally, findings from this study discuss the role of smart mobility for sustainable services and the application for data-driven initiatives toward sustainable smart cities to enhance mobility interconnectivity, accessibility and multimodality. Findings from this study identify technical and non-technical factors that impact the sustainable mobility transition.

Practically, this study advocates for the use of smart mobility and data-driven services in smart cities to improve commuters' behavior aimed at long-term behavior change toward sustainable mobility by creating awareness on the society and supporting policymakers for informed decisions. Implications from this study provide information that supports policymakers and municipalities to implement data-driven mobility services.

This study provides implications toward behavioral change of individuals to adopt a more sustainable mode of travels, increase citizens’ quality of life, improve economic viability of business involved in providing mobility-related services and support decision-making for municipalities and policymakers during urban planning and design by incorporating the sustainability dimension into their present and future developments.

This paper explores how urban transportation can greatly reduce greenhouse gas emissions and provides implications for cities to improve accessibility and sustainability of public transportation, while simultaneously promoting the adoption of more environmentally friendly means of mobility within and across cities. Besides, this study provides a detailed discussion focusing on the potential opportunities and challenges faced in urban environment in achieving sustainable mobility. The governance model developed in this study can also be utilized by technology startups and transportation companies to assess the factors that they need to put in place or improve for the provision of sustainable mobility services.

Confidentiality in adoption has been the norm in this country since the 1930s. Traditionally, it has been perceived as beneficial to all sides of the adoption triangle: the adoptive parents, the adoptee, and the birth parents. Adoption agencies have supported the policy of confidentiality, and as a result the practice of concealment is almost universal in the United States. Alaska, Hawaii, and Kansas are the only states that allow adult adoptees access to their birth and adoption information.

The paper addresses the following research question: how do decision-makers use heuristics in their international business (IB) environment? Whereas, the literature has focused on entrepreneurial companies, here contrasting approaches to learning and using heuristics in international marketing (IM) decisions are examined and discussed.

The paper aims to address a gap in the study of micro-foundations of internationalization, exploiting research from other disciplinary fields. It combines a multidisciplinary literature review and longitudinal case studies to illustrate different approaches in learning and using heuristics by international marketers.

International marketers can adopt “closed” heuristics that are consolidated and consistently followed, or “open” heuristics, which are constantly being adapted and learned. Established multinationals learn heuristics in international marketing decision-making, following both “closed” and “open” models.

This paper offers an original contribution by presenting different approaches not yet examined in the literature, focusing on how international marketers make decisions through learning and using heuristic rules. The focus is on established exporters, in contrast to the literature that has largely paid attention to the effectiveness of heuristics in new entrepreneurial firms.

The purpose of this paper is to examine how firms can develop business risk resilience from supply chain disruption events, by developing big data analytics (BDA) capabilities within their organization. The authors test whether BDA mediates the impact of institutional response to supply chain disruption events, and information technology infrastructure capabilities (ITICs), on firm’s ability to develop risk resilience from supply chain disruption events.

The study is based on survey data collected from 225 firms, spread across several sectors in the USA and Europe. The respondents are primarily senior and middle management professionals who have experience within the information technology (IT) and supply chain domain. Validity and reliability analyses were performed using SPSS and AMOS; and covariance-based structural equation modeling was used to test the hypothesis.

The analysis reveals two significant findings. First, the authors observe that institutional experience with managing supply chain disruption events has a negative impact on firm’s ability to develop business risk resilience. However, if the organizations adopt BDA capabilities, it enables them to effectively utilize resident firm knowledge and develop supply chain risk resilience capacity. The results further suggest that BDA positively adds to an organization’s existing IT capabilities. The analysis shows that BDA mediates the impact of ITIC on the organization’s ability to develop risk resilience to supply chain disruption events.

This study is one of the few works that empirically validate the important role that BDA capabilities play in enabling firms develop business risk resilience from supply chain disruption events. The study further provides a counterpoint to the existing perspective within the supply chain risk management literature that institutional experience of managing past supply chain disruption events prepares the organization to deal with future disruption events. This paper adds to our understanding of how, by adopting BDA capabilities, firms can develop supply chain risk resilience from disruption events.