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The purpose of this paper is to classify the given image as indoor or outdoor with higher success rate by mixing various features like brightness, number of straight lines, number of Euclidean shapes and recursive shapes.

For annotating an image, it is very easy, if the image is categorized as indoor or outdoor. Many methods are proposed to classify the given image in these criteria but still the rate of uncategorized images occupies considerable area. This proposed work is the extension of the existing works already proposed by experts in this field. Some of the parameters mainly focused to classify are color histogram, orientation of edges, straightness of edges, discrete cosine transform coefficients, etc. In addition to that, this work includes finding of Euclidean shapes i.e. closed contours and recursive shapes in the given image. When the Euclidean shaped object dominates the recursive shapes then it is classified as indoor object and if the recursive shapes dominates, it is categorized as outdoor object.

This work is carried out on the standard image data sets. The data sets are Microsoft Research Cambridge (MRC) object recognition image database 1.0. and Kodak and Coral image data set. Totally 540 images are taken into account and the images are classified 95.4 percent correctly.

Many methods are proposed to classify the given image in these criteria but still the rate of uncategorized images occupies considerable area. This proposed work is the extension of the existing works already proposed by experts in this field. Some of the parameters mainly focused to classify are color histogram, orientation of edges, straightness of edges, discrete cosine transform coefficients, etc. In addition to that, this work includes finding of Euclidean shapes i.e. closed contours and recursive shapes in the given image. When the Euclidean shaped object dominates the recursive shapes then it is classified as indoor object and if the recursive shapes dominates, it is categorized as outdoor object. This work is carried out on the standard image data sets. The data sets are MRC object recognition image database 1.0. and Kodak and Coral image data set. Totally 540 images are taken into account and the images are classified 95.4 percent correctly.

The purpose of this paper is to conduct a narrative review of the food insecurity literature pertaining to university and college students studying in Very High Human Development Index countries. It aims to document food insecurity prevalence, risk factors for and consequences of food insecurity and food insecurity coping strategies among students.

English articles published between January 2000 and November 2017 were identified using electronic databases. Quality Assessment Tool for Quantitative Studies assessed the study quality of quantitative research.

A total of 37 quantitative, three mixed-methods and three qualitative studies were included from 80,914 students from the USA (n=30 studies), Australia (n=4), Canada (n=8) and Poland (n=1). Prevalence estimates of food insecurity were 9–89 percent. All quantitative studies were rated weak based on the quality assessment. Risk factors for food insecurity included being low income, living away from home or being an ethnic minority. Negative consequences of food insecurity were reported, including reduced academic performance and poor diet quality. Strategies to mitigate food insecurity were numerous, including accessing food charities, buying cheaper food and borrowing resources from friends or relatives.

Given the heterogeneity across studies, a precise estimate of the prevalence of food insecurity in postsecondary students is unknown.

For many students studying in wealthy countries, obtaining a postsecondary education might mean enduring years of food insecurity and consequently, suffering a range of negative academic, nutritional and health outcomes. There is a need to quantify the magnitude of food insecurity in postsecondary students, to inform the development, implementation and evaluation of strategies to reduce the impact of food insecurity on campus.

This review brings together the existing literature on food insecurity among postsecondary students studying in wealthy countries to allow a better understanding of the condition in this understudied group.

Due to the recent development of Big Data and artificial intelligence (AI) technology solutions in customer relationship management (CRM), this paper provides a systematic overview of the field, thus unveiling gaps and providing promising paths for future research.

A total of 212 peer-reviewed articles published between 1989 and 2020 were extracted from the Scopus database, and 2 bibliometric techniques were used: bibliographic coupling and keywords’ co-occurrence.

Outcomes of the bibliometric analysis enabled the authors to identify three main subfields of the AI literature within the CRM domain (Big Data and CRM as a database, AI and machine learning techniques applied to CRM activities and strategic management of AI–CRM integrations) and capture promising paths for future development for each of these subfields. This study also develops a three-step conceptual model for AI implementation in CRM, which can support, on one hand, scholars in further deepening the knowledge in this field and, on the other hand, managers in planning an appropriate and coherent strategy.

To the best of the authors’ knowledge, this study is the first to systematise and discuss the literature regarding the relationship between AI and CRM based on bibliometric analysis. Thus, both academics and practitioners can benefit from the study, as it unveils recent important directions in CRM management research and practices.

Previous research on advertising in digital contexts has emphasized its persuasive and information processing roles for the customer. This paper aims to problematize this point of view and argues that the converged and interactive nature of digital media makes all advertising content into potential points of engagement in a digital media journey.

The paper is conceptual in nature and applies service logic (SL) and customer engagement to reconceptualize digital advertising and selling.

The authors present digital advertisements and digital media content as elements that contribute to a digital media journey, which ideally leads to a purchase. Advertising content is regarded as a resource used by consumers in their underlying value-creating processes. Thus, the digital advertising process is conceptualized as a customer-driven process of engaging with digital media content, where a purchase is incorporated in (and naturally follows from) the theme of engagement.

The paper introduces the concept of contextually embedded selling, which refers to a process where digital advertising content is thematically congruent with the surrounding editorial content, so that both contribute to the same consumer journey. Otherwise, consumers experience a contextual jump – a disconnect in theme, place or time during the consumer’s process of engagement with the digital content.

The paper contributes to advertising theory on advertising, engagement and the emerging research on consumer journey design by presenting an approach based on SL, namely, contextually embedded digital selling.

The quest to discover optimal conditions or amounts has been carried out in many scientific disciplines and practical fields. In astrophysics, biology, medicine, psychology and education, the quest has resulted in finding the right amount of something, a desirable middle between extremes, a balance between conditions or the optimal state of a system. The results are referred to as the Goldilocks principle, which is based on the idea of being “just right”. The aim of our study was to find out if there are any measures in information search that could be identified as Goldilocks ranges.

We conducted a user experiment in which 68 participants carried out a time-unlimited, topical search task involving finding relevant websites on the basis of which the participants were supposed to prepare a presentation on a given topic. We examined aspects of their search behavior.

We found that information search Goldilocks ranges can be identified for a length of a search session, number of relevant results, number of queries submitted and number of search engine results pages (SERPs) visited. This preliminary study has resulted in indicating the following dominant ranges: Number of relevant documents found: 5–8; Time spent searching: 21–35 min; Number of queries submitted: 3–7; Number of SERPs viewed: 1–3.

Till now, no one has studied Goldilocks ranges in information retrieval. The Goldilocks ranges have some practical implications for improving the effectiveness of web searching.

The purpose of this paper is to assess, clarify and consolidate the terminology around the co-creation of services, establish its forms and identify its outcomes, to resolve the conceptual pluralism in service co-creation literature.

A focused literature review screened the articles published in five major service research journals to determine relevant contributions on the concept of co-creation of services. Then, a thematic analysis identifies the forms, themes and outcomes of co-creating services in the set of 80 qualifying articles.

The study reduces conceptual pluralism by establishing different forms of co-creating services and developing an explicit definition of co-creation in services. The authors develop an integrative framework that recognizes involvement, engagement and participation as prerequisites for co-creation. Relating to the different phases of the service process, the specific co-creation forms of co-ideation, co-valuation, co-design, co-testing and co-launching are classified as regenerative co-creation, while the specific co-creation forms of co-production and co-consumption are recognized as operative co-creation. Both beneficial and counterproductive outcomes of co-creation are identified and arranged into a typology.

The integrative framework illustrates that service providers and customers are involved, engaged and participate in co-creating services, which manifests in specific forms of co-creation; they attain beneficial and counterproductive outcomes (personal, social, hedonic, cognitive, economic and pragmatic); and are influenced by a contextual multi-actor network.

Co-creation in services is actionable; the typology of outcomes suggests service managers ways to motivate customers and employees to participate in co-creating services.

This paper defines and establishes the conceptual forms of co-creating services and the identified outcomes, and develops an integrative framework of co-creation in services.

The purpose of this paper is to identify and evaluate critically the impacts associated with the implementation of electronic monitoring (EM) of accused and convicted persons on society based on the foreign experience and compare these findings with the original research results on EM in the Slovak Republic.

This paper elaborates the secondary data of previous researches in Scotland, Sweden and Florida in the USA. Secondary research is based on in-depth analysis of articles, reports and studies searched via database of Google, Scopus and Science Direct. Based on the studies processed by a causal and qualitative analysis, the authors identify the benefits and risks of EM influencing community life in Europe and the USA. The additional sources of secondary data are the Statistical Yearbook of Ministry of Justice of Slovak Republic, the content of the original law (including relevant amendments) that introduced EM into the Slovak criminal justice system and data on the application of EM in Slovakia provided by the Ministry of Justice. Subsequently, this paper presents the original research findings about the EM implementation in the Slovak Republic. The primary data were conducted via interviews with the representatives of Ministry of Justice, and through the national survey of opinions of judges, probation and mediation officers. The authors used the descriptive statistics and the statistical deduction methods.

The key finding of the paper is that there is a very narrow border between EM as blessing and disguise for community involved. Setting proper measures to protect the community, targeted communication and support with attendance of professionals (e.g. mediator and psychologist) for community members might help to avoid possible risks and support the benefits related with EM implementation, namely, social and economic inclusion of offenders, maintaining family and community tights, reducing recidivism or protection of sensitive sites.

To support the acceptation of EM by local community, the authors recommend to perceive sensitively community involvement and consider potential risks related with EM implementation; to suggest the proper measures to protect the community; and to develop better or targeted communication oriented towards increasing awareness or establishment supporting groups with attendance of professionals (e.g. mediator and psychologist) that might help to avoid possible risks and support the benefits related with EM implementation.

This paper compares experience with EM based on the secondary data of previous researches in Scotland, Sweden and Florida in the USA. Subsequently, it presents the unique data about the implementation of EM in the Slovak Republic. The topic of EM is still vastly underrated in the literature, and there is a lack of empirical data, so this paper as a combination of case studies and original research could be very helpful in the efficient implementation of EM and setting the proper measures.

This conceptual chapter aims to understand the role of artificial intelligence (AI) in value co-creation phenomena in a healthcare service ecosystem, through a literature review and the definition of a conceptual framework. AI, as an operant resource, can stimulate a completely patient-centered, adaptive and resilient healthcare system, and governance models in healthcare based on data-driven decision-making (DDDM), ensuring faster choices, more timely diagnosis and more personalized treatment paths. However, the full implementation of AI in healthcare is inhibited by some frictions, mainly related to the risk that the AI black box may generate an inadequate automatic decision, also due to the quality of data used, often partial and unstructured given the reluctance to share them by patients concerned by privacy threats. The co-design (multi-part and multi-level) of a predictive decision model based on the functional transparency of the AI algorithm would allow for augmented decision as result of an effective human–machine interaction. Healthcare actors could thus make decisions using the information detected by the software (based on clear cause-and-effect correlations and modifiable variables in case of mistakes), integrated with their professional knowledge. This would also help to strengthen the patient’s perception of the decision’s reliability and accuracy and the safety of the tool (factors that can affect his/her trust). AI may be considered as a driver for value co-creation in healthcare, thanks to transparency. It would allow the promotion of collaborative behaviors involving actors by generating new institutions and new resource integration practices among them.

Invisibility and inequality in the subjective experiences of Albanian migrant women in the Greek labor market have not been sufficiently studied. In times of crisis, mechanisms and social processes of marginalization are being strengthened and push women to new roles, expectations, and social positions. This chapter investigates how migrant women understand invisibility within their occupation, to what extent they feel relative deprivation and injustice when comparing their situation with others, and what this means for the reproduction of inequalities and the boundaries of social stratification. Qualitative research is conducted through a case study and 10 work history biographical interviews with Albanian migrant women, living and working in the Artemis community. Findings are analyzed in light of the socio-historical context of invisibility of migrant women workers in Greece, while the statistical analysis of changes in the occupational distribution provides a picture of the social landscape. Findings show evidence of the ethnic and gender segregation of the Greek labor market and a significant increase of informal and temporary work in low-status jobs in services. Invisibility is mainly experienced through the degradation of working conditions, flexibility, insecurity, and the concealed process of alienation. The economic crisis increases the dependencies; meanings and perceptions change towards reduced expectations. Comparisons with reference groups show increasing inequalities within the same social group, but feelings of injustice are felt more due to administrative barriers and discrimination. The chapter offers insights on the process of invisibility of migrant women and its significance for social stratification.

The purpose of this paper is to illustrate how sustainable entrepreneurs (SEs) address the regulative, normative and cultural-cognitive institutional pillars when operating in conservative contexts. It aims to study in depth the use of sustainable innovation (SI) as a means of increasing legitimacy within the institutions, thus triggering an institutional change.

The paper opted for an exploratory study on the Tuscan geothermal heat pumps market, which presents a promising but still largely unexploited sustainability potential despite its low institutional support, using the open-ended approach of grounded theory. The data include interviews and archive data, such as newspapers, magazines.

The paper provides empirical insights on how sustainable institutional entrepreneurs (SIEs) have developed innovative business models based on direct relationship with the final customers and strategic partnerships as a means of increasing legitimacy within the normative and cultural-cognitive institutions, and subsequently in the regulative institutions, through: innovative value propositions aimed at changing industry norms and social beliefs; increasing the private benefit of innovative sustainable business models in order to trigger imitation dynamics; inter-sector strategic partnerships sharing the same sustainability objectives; the inclusion of the relevant actors in relation to the social norms and cultural-cognitive barriers in a value proposition. On the basis of these findings a model has been developed.

The study enriches the sustainable entrepreneurship research stream by providing empirical evidence on how SEs foster changes in the three institutional pillars with SI. It also contributes to the institutional entrepreneurship research by extending the results of previous studies regarding institutional tactics.

The paper could help SIEs prioritizing changes in value propositions and strategic partnerships to create market-based coalitions, as a means of institutional legitimization for SI.

The study illustrates the relationship between the sustainable institutional entrepreneurial practices and each institutional pillar, including the cultural-cognitive institutions, which have been neglected in previous research. This allows formulating five key propositions that guide SEs in succeeding as both sustainable and institutional entrepreneurs.