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The purpose of this paper is to investigate tourists’ representations of the Arctic through the lens of the photo-sharing social network Instagram. The study focuses on the particular tourist experience of crossing the Arctic Circle in Rovaniemi, Finland, as in tourism, it represents the “official” entry to the Arctic. The study also aims at drawing assumptions about the future experiences of crossing the Arctic Circle, with the development of new technologies such as augmented and virtual realities.

Data were gathered with netnography methodologies on the Instagram social network. The first stage was the observational part and consisted of “lurking” at specific hashtags and locations, both referring to the Arctic Circle in Rovaniemi. Data were gathered in December 2018 and consisted of images and descriptions of Instagram posts published by users between June 1, 2018 and December 31, 2018, so data collection encompassed both summer and winter seasons. The second stage was the analysis part and involved interpretive understanding, and especially phenomenological sociology.

Results show that three dominant representations of the Arctic emerge when tourists cross the Arctic Circle. The region is either seen as a frozen fairytale wonderland due to the close proximity of the Christmas industry, as a far and northern destination participating in the realization of the self, and as a territory where summer weather conditions are not necessarily synonymous with the Arctic. In addition, the study acknowledges the future challenges of conceptualizing “Arctic tourism” due to the development of virtual reality technologies that could provide immersive Arctic experiences outside the region.

The paper investigates connections between social media studies and tourist experiences in the Arctic context. It also questions the future of Arctic tourist experiences with the development of new technologies enhancing experiences and, thus, potentially threatening the exceptionalism of the Arctic and what makes the region a unique tourism destination.

The purpose of this paper is to focus on the Sourtoe Cocktail, a custom in Dawson City, Canada’s Yukon, in which participants drink a shot of alcohol with a dehydrated human toe in it. Springing from a local legend, the thrill-inducing Sourtoe Cocktail has attracted the attention of tourists. The paper reveals insights from this particular case study in order to discuss potential future tourism trends within the Arctic, especially in regard to the development of a sustainable tourism industry. Additionally, it illustrates how local communities can avoid negative effects of “Arctification.”

The case study is deconstructed through Dean MacCannell’s (1976) framework of sight sacralization. The Sourtoe Cocktail is analyzed based on the five stages of the framework, which helps to reveal the various elements at play at the local level. The framework specifically highlights linkages between society and the Sourtoe Cocktail as a product in order to understand how it became a tourist attraction.

The use of MacCannell’s sight sacralization framework reveals the intricate relationship of the Sourtoe Cocktail to both the Arctic and the local folklore of the Klondike Gold Rush. In addition, it is argued that the activity can serve as an example of avoiding “Arctification” processes for northern communities.

The originality of the study lies in the application of the sight sacralization framework to an ordinary object – a toe – instead of an object of inherent historical, aesthetic or cultural value. The paper proposes a complementary study to the recommendations provided in the Arctic Tourism in Times of Change: Seasonality report (2019) for the development of sustainable Arctic societies.

The aim of this study is to assess healthcare workers' behavior on the congenital hypothyroidism screening program implementation based on a framework protocol and its associated factors.

A cross-sectional study was conducted using the multistage random sampling method in recruiting health clinic workers and purposive sampling techniques for hospital workers. The demographics, providers' characteristic, occupational profile, attitude, perceived behavior control (PBC), knowledge, behavioral intention and adherence to protocol were gathered using validated and reliable self-administered questionnaires.

Partial intention to adhere to protocol was 25.7%. Weak attitude (adjusted odds ratio [AOR]: 5.48, 95% confidence interval [CI]: 3.32–9.06), low PBC score (AOR: 0.91, 95% CI: 0.86–0.95) and low knowledge score (AOR: 0.85, 95% CI: 0.75–0.96) were associated with partial intention to adhere to protocol. In the self-rated adherence assessment, 92.6% of participants from health clinics, 79.1% from pediatric and 61.1% from pathology were found not adhering to protocol. There was a significant association between intention and adherence to protocol.

Documentations and observations in assessing program implementation were limited to perform in the present study. Using self-rated instruments and focusing on healthcare workers alone did not provide a comprehensive assessment.

Availability of a training module at site and regular refreshing course training should be made available to harness knowledge, attitude and behavioral perception in implementing the program activities.

Integrating the Logical Framework Approach in assessing program implementation and application of the Theory of Planned Behavior and Attitude, Subjective Norms, Self-Efficacy Model in this study were beneficial.

Health apps offer a potential approach to support healthier food behaviours but a lack of sufficient engagement may limit effectiveness. This study aims to use a user engagement theoretical lens to examine the factors that influence app engagement over time and may prompt disengagement.

A phenomenological exploration of the lived experience was used. Women from a lower socioeconomic background (based on the occupation and employment status of the household’s primary income earner) were randomly assigned to use one of two apps for a minimum of eight weeks. Multiple data collection methods, including accompanied shops, researcher observations, interviews, participant reflective accounts and questionnaires, were used at different time-points to examine engagement. Theoretical thematic analysis was conducted to explore the engagement experience and relevant social, personal and environmental influences.

Healthy food involvement appears to drive app engagement. Changes in situational involvement may contribute to fluctuation in engagement intensity over time as the saliency of personal goals change. Negatively valenced engagement dimensions may contribute to the overall expression of engagement. A lack of congruency with personal goals or an imbalance between perceived personal investment and value was expressed as the primary reasons for disengagement.

Situational involvement may act as a trigger of different engagement phases. There is a need to better distinguish between enduring and situational involvement in engagement research.

Individual characteristics may shape engagement and propensity for disengagement, which highlights the practical importance of incorporating tailored features into app design.

Findings broaden the current conceptualisation of engagement within the digital space and prompt a reconsideration of the role of situational involvement and negatively valenced dimensions throughout the engagement process.

This paper aims to discuss the development of a defect classification system that can be used to detect and classify powder bed surface defects from captured layer images without the need for specialised computational hardware. The idea is to develop this system by making use of more traditional machine learning (ML) models instead of using computationally intensive deep learning (DL) models.

The approach that is used by this study is to use traditional image processing and classification techniques that can be applied to captured layer images to detect and classify defects without the need for DL algorithms.

The study proved that a defect classification algorithm could be developed by making use of traditional ML models with a high degree of accuracy and the images could be processed at higher speeds than typically reported in literature when making use of DL models.

This paper addresses a need that has been identified for a high-speed defect classification algorithm that can detect and classify defects without the need for specialised hardware that is typically used when making use of DL technologies. This is because when developing closed-loop feedback systems for these additive manufacturing machines, it is important to detect and classify defects without inducing additional delays to the control system.

Context matters in social entrepreneurship, and it matters a lot. Social entrepreneurs are deeply entrenched in the context where they operate: they respond to its challenges, are shaped by it, and attempt to shape it in turn. The purpose of this paper is to discuss how social entrepreneurship in Africa is still understood within the scope of Western theories, without much consideration for local variations of the commonly shared archetype of social entrepreneurship or for how African norms, values and beliefs may shape our common understanding of this phenomenon.

The authors survey the often-neglected literature on social entrepreneurship in Africa and bring it together in this paper to discuss – also from the vantage point of their own experience and research in diverse African countries – how important assumptions in the social entrepreneurship literature are confirmed, enriched or challenged by key dimensions of African contexts.

Four important themes in the literature on social entrepreneurship in Africa emerged – institutions, embedding values, entrepreneurial behaviour and bricolage and scaling impact – each with its own considerations of how African contexts may challenge predominant assumptions in the extant social entrepreneurship literature, as well as implications for future research.

The authors uncover ways in which the peculiarities of the African context may challenge the underlying – and mostly implicit – assumptions that have shaped the definition and analysis of social entrepreneurship. They end by offering their understanding of social entrepreneurship and its concomitant dimensions in Africa as a stepping stone for advancing the field in the continent and beyond.

The World Health Organization Framework Convention on Tobacco Control (WHO FCTC) is the first treaty negotiated under the auspices of the WHO. This study aims to describe progress toward the framework’s goals, setbacks and strategies to update its articles to optimize outcomes.

A review of relevant literature, including papers in this special issue, forms the basis for identifying steps necessary to amplify the impact of the FCTC.

The WHO suggests that there are 1.3 billion users of tobacco globally. The expected deaths associated with tobacco use could be dramatically reduced by hundreds of millions between now and 2060 through measures that improve cessation and harm reduction support among adults. Additional steps needed to achieve the goals of the FCTC include developing new initiatives to address areas of profound neglect (for example, women); investing in global research and innovation; addressing the needs of vulnerable populations; and establishing a mechanism to fund priority actions required by low- and middle-income countries, including support for alternative livelihoods for smallholder farmers.

In November 2020, the WHO FCTC Parties will host their next Conference of the Parties (COP9) in the Netherlands. This paper aims to contribute to the needed policy decisions related to this meeting. Since acceptance of this article, the WHO FCTC team announced that doe to the COVID-19 pandemic COP9 has been rescheduled till November 2021.

There exists a need to prioritize the goals of tobacco control and offer clear strategies for its execution. This paper fills this niche via a thorough and up-to-date analysis of how to amend and enforce the FCTC.

The purpose of this paper is to compare service outsourcing decisions between public and private organizations and against a theoretical decision-making framework to both understand differences across the sectors and to provide an outsourcing framework more suitable specifically for outsourcing (and for the public sector).

Multiple case studies, i.e. a study of phenomena (here outsourcing process) at various sites is used as an approach.

Findings indicate that public sector organizations are trailing behind private sector organizations in how the decision-making process is conducted and resourced. The authors suggest regular evaluation of service functions internally as a starting point for the outsourcing service decision-making process. Additionally, the market analysis should be done prior to cost analysis and benchmarking as the availability of suppliers more qualified than the internal process defines the make or buy decision.

The newly developed framework based on empirical evidence includes the following phases: regular evaluation of service functions, market analysis, cost analysis and benchmarking and evaluating relevant service activities. Applying the framework improves the efficient delivery of outsourced public services and brings public sector outsourcing closer to the professionalism currently present in the private sector.

Choosing between in-house and outsourced service delivery is a fundamental decision in both private and public sector organizations. Previous outsourcing research has mostly focused on the private sector, with limited focus on the public sector’s outsourcing processes, yet understanding of the service outsourcing process is important in ensuring organizational competitiveness and cost efficiency.

Accurate values for infiltration rate are important to reliably estimate heat losses from buildings. Infiltration rate is rarely measured directly, and instead is usually estimated using algorithms or data from fan pressurisation tests. However, there is growing evidence that the commonly used methods for estimating infiltration rate are inaccurate in UK dwellings. Furthermore, most prior research was conducted during the winter season or relies on single measurements in each dwelling. Infiltration rates also affect the likelihood and severity of summertime overheating. The purpose of this work is to measure infiltration rates in summer, to compare this to different infiltration estimation methods, and to quantify the differences.

Fifteen whole house tracer gas tests were undertaken in the same test house during spring and summer to measure the whole building infiltration rate. Eleven infiltration estimation methods were used to predict infiltration rate, and these were compared to the measured values. Most, but not all, infiltration estimation methods relied on data from fan pressurisation (blower door) tests. A further four tracer gas tests were also done with trickle vents open to allow for comment on indoor air quality, but not compared to infiltration estimation methods.

The eleven estimation methods predicted infiltration rates between 64 and 208% higher than measured. The ASHRAE Enhanced derived infiltration rate (0.41 ach) was closest to the measured value of 0.25 ach, but still significantly different. The infiltration rate predicted by the “divide-by-20” rule of thumb, which is commonly used in the UK, was second furthest from the measured value at 0.73 ach. Indoor air quality is likely to be unsatisfactory in summer when windows are closed, even if trickle vents are open.

The findings have implications for those using dynamic thermal modelling to predict summertime overheating who, in the absence of a directly measured value for infiltration rate (i.e. by tracer gas), currently commonly use infiltration estimation methods such as the “divide-by-20” rule. Therefore, infiltration may be overestimated resulting in overheating risk and indoor air quality being incorrectly predicted.

Direct measurement of air infiltration rate is rare, especially multiple tests in a single home. Past measurements have invariably focused on the winter heating season. This work is original in that the tracer gas technique used to measure infiltration rate many times in a single dwelling during the summer. This work is also original in that it quantifies both the infiltration rate and its variability, and compares these to values produced by eleven infiltration estimation methods.

This study aims to explore what characteristics contribute to the definition of relevance in business-to-business (B2B) marketing research and how/why different strands of B2B marketing maintain or lose their relevance.

This study is conceptual. It adopts a performative-phenomenal standpoint for B2B marketing research and approaches relevance through the concept of episteme, which is considered pivotal for understanding this phenomenon.

This study proposes four axioms that define the characteristics of relevance in B2B marketing research and discusses their implications for scholars and practitioners. Consequently, an action plan for revitalizing B2B marketing research is developed, comprising learning and temporal dimensions, resulting in nine different relevance types.

The central argument put forward in this study is that different research strands of B2B marketing have deeply rooted epistemic underpinnings that influence their interpretation of relevance. Consequently, fostering dialogue between practitioners and scholars is considered necessary to sustain relevance in B2B marketing research. B2B scholars are urged to think beyond their subspecialized silos and acknowledge how the business environment and the various strands of B2B marketing congruently shape B2B marketing relevance, while also embracing research methods that bring them closer to business practice.

Marketing practitioners and academics continue to drift apart. This study puts forward three recommendations to bring marketing academics and practitioners closer together.

The study contributes to the B2B marketing literature by grappling with the theory-praxis gap and critically exploring what constitutes relevance in B2B marketing research.