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Traceability of food is of paramount importance to the increasingly sustainability-conscious consumers. Several tracking and tracing systems have been developed in the AgriFood sector in order to prove to the consumers the origins and processing of food products. Critical challenges in realizing food's traceability include cooperating with multiple actors on common data sharing standards and data models.

This research applies a design science approach to showcase traceability that includes preharvest activities and conditions in a case study. The authors demonstrate how existing data sharing standards can be applied in combination with new data models suitable for capturing transparency information about plant production.

Together with existing studies on farm-to-fork transparency, our results demonstrate how to realize transparency from field to fork and enable producers to show a complete bill of sustainability.

The existing standards and data models address transparency challenges in AgriFood chains from the moment of harvest up to retail (farm-to-fork) relatively well, but not what happens before harvest. In order to address sustainability concerns, there is a need to collect data about production activities related to product quality and sustainability before harvesting and share it downstream the supply chain. The ability to gather data on sustainability practices such as reducing pesticide, herbicide, fertilizer and water use are crucial requirements for producers to market their produce as quality and sustainable products.

Since the 1980s, a substantial number of theories have contributed extensively to information and communication technology (ICT) adoption. Much of such theories regarded ICT adoption as a one-off action as they specifically focus on factors affecting decision making at one decision point. They tend to play down on the fact that as adoption decision progresses through stages, they are supposedly influenced by the same or different factors. Therefore, the purpose of this paper is to examine the dynamic process of ICT adoption using the concepts of dynamic capabilities.

This study used qualitative approach to gain in-depth insight into the dynamic and evolutionary process of emerging information and communication technology (EICT) adoption in UK small service SMEs. Unstructured and semi-structured interviews were conducted in two separate rounds with 26 participants drawn from Crunch Online Data Base and Luton Business Directory. The participants were selected from a sample of 65 drawn from extended classification of professional service businesses proposed by Ramsey et al. (2008). They include managers, government agencies, SMEs consultants and IT vendors; and then purposeful random sampling and snowball sampling were used.

The study developed a framework from the concept of dynamic capabilities and found that using the concept of dynamic capabilities to examine the process of EICT adoption helps to unveil the recursive nature of the process and how the factors vary at both single and multiple stages of adoption.

This study is limited by its focus and other factors. Studying the opinions of small service UK SMEs limits the power of generalizing the identified causal relationships; therefore, extended measures are required on accounts of environmental, cultural, geographical and sectoral differences. While some errors seemed unavoidable when measures appear subjective and prone to common error biases, the study advised on recognizing the over-riding influence of the factor(s) at each stage of the adoption process in order to be proactive in committing resources.

This work focuses on emerging ICT adoption in SMEs from the dynamic and evolutionary process perspective using the concept of dynamic capability. It advances ICT adoption research by developing a framework to depict that ICT is not a one-off event, rather it is dynamic and interactive in nature and factors influencing adoption vary from one stage or the other.

The purpose of this paper is to present an efficient algorithm based on a multi‐level adaptive mesh refinement strategy for the solution of ill‐posed inverse heat conduction problems arising in pool boiling using few temperature observations.

The stable solution of the inverse problem is obtained by applying the conjugate gradient method for the normal equation method together with a discrepancy stopping rule. The resulting three‐dimensional direct, adjoin and sensitivity problems are solved numerically by a space‐time finite element method. A multi‐level computational approach, which uses an a posteriori error estimator to adaptively refine the meshes on different levels, is proposed to speed up the entire inverse solution procedure.

This systematic approach can efficiently solve the large‐scale inverse problem considered without losing necessary detail in the estimated quantities. It is shown that the choice of different termination parameters in the discrepancy stopping conditions for each level is crucial for obtaining a good overall estimation quality. The proposed algorithm has also been applied to real experimental data in pool boiling. It shows high computational efficiency and good estimation quality.

The high efficiency of the approach presented in the paper allows the fast processing of experimental data at many operating conditions along the entire boiling curve, which has been considered previously as computationally intractable. The present study is the authors' first step towards a systematic approach to consider an adaptive mesh refinement for the solution of large‐scale inverse boiling problems.

The concept of the music scene has served sociologists well in providing a template for studying the organization of various musical styles and the people who work together to create the musical experiences. Writers including Howard Becker, Richard Peterson, Andy Bennett, David Grazian, and Joseph Kotarba have explored music scenes ranging from jazz, blues and rock to country and Latino styles. Although there is no one consensual definition of music scene, the notion of place, in a physical, empirical, and geo-local sense, seems to be a universal concern in the literature. In this chapter, we will outline a more inclusive, interactionist-oriented, and updated concept of the music scene that is at once interactionist in tone and perspective, while sensitive to dramatic changes occurring both in the world of politics and in the world of digital media. Perhaps most importantly, the concept of music scene can provide insight into the historical fact that, in spite of technological advancements, the live music experience is still at the heart of musical experiences across communities and cultures.

This paper aims to investigate the microstructural anisotropy of Ti-6Al-4V samples fabricated by selective laser melting.

Specimens are fabricated through a Renishaw AM400 selective laser melting machine. Three microstructures (as-built, 850°C annealed and 1,050°C annealed) and two building orientations, parallel (PA) and perpendicular (PE) to the building platform, are considered. Starting from in-depth microscopic observations and comprehensive electron backscattered diffraction imaging, the study addresses non-conventional techniques such as internal friction and electrical resistivity measurements to assess the anisotropy of the fabricated parts.

Microscope observations highlight a fine texture with columnar grains parallel to the building direction in the as-built and 850°C annealed samples. Besides, coarse grains characterized the 1,050°C annealed specimens. Internal friction measurements pointed out the presence of internal stress while storage modulus analyses appear sensitive to texture. Electrical resistivity is resulted to be dependent on grain orientation.

The work uses some novel characterization techniques to study the anisotropy and internal stresses of Ti-6Al-4V samples processed by selective laser melting. Mechanical spectroscopy results suitable in this kind of study, as it mimics the operating conditions of the material.

The purpose of this paper is to examine how users on social media view brands with a heritage. Consumers commonly post opinions and accounts of their experiences with brands on social media. Such consumer-generated content may or may not overlap with content desired by brand managers. Drawing from “The medium is the message” paradigm, this study text-mines user narratives on Twitter1 to shed light on the role of social media in shaping public images of brands with heritage through the lens of the stereotype content model.

The study uses a data set of almost 80,000 unique tweets on 12 brands across six categories, compares brands high versus low in heritage and combines dictionary-based content analysis with sentiment analysis.

The results indicate that both user-generated content and sentiment are significantly more positive for brands low rather than high in heritage. Regarding warmth, consumers use significantly more positive words on sociability and fewer negative words on morality for brands low rather than high in heritage. Regarding competence, tweets include more positive words on assertiveness and ability for low-heritage brands. Finally, overall sentiment is more positive for brands low rather than high in heritage.

Important from co-creation and integrated marketing communication perspectives, the findings provide brand managers with actionable insights on how to more effectively use social media.

To the best of the authors’ knowledge, this research is among the first to examine user-generated content in a brand heritage context. It demonstrates that heritage brands, with their longevity and strong links to the past, need to be aware of how contemporary social media can detract from their image.

Using survey datasets, the purpose of this work explores the impact of economic freedom on the gender pay gap in the UK.

The analysis combines Economic Freedom of the World data with the Understanding Society (USoc) Microdata series.

The results document that economic freedom positively affects the gender pay gap. When the components of the index are considered, the findings indicate different effects of various types of policy, i.e. less government spending, stronger trade liberalization conditions and levels of corruption lead to higher gaps; stronger legal and property rights and a sounder money system have no impact on the gap. Moreover, a stronger impact in the manufacturing industry, part-time workers and those who work in the non-London regions is observed.

The findings imply that reductions to government spending programmes can potentially aggravate the gap in hourly wages paid between males and females and should, therefore, be implemented. It may be also possible to provide females the training or education necessary to effectively compete in the workforce, before eliminating any spending programme they rely on.

The first study explores the link between economic freedom and gender pay gap through a unique survey dataset with UK households.

This research examined the effects of meeting leader behavior on organizational meetings. Two studies investigated whether leader behavior that satisfies the psychological needs of meeting attendees, leads to higher levels of meeting productivity and satisfaction. Study 1 used correlational methods, with regression- based mediation analysis, to assess whether satisfaction of attendee needs mediated the association between leader behavior and attendee ratings of actual meetings in a sample of 110 employees. Study 2 involved an analogue experiment with 158 employees to test the effects of leader behavior on ratings of hypothetical meeting scenarios. The studies provide correlational and experimental evidence for the positive impact of needs-focused behaviors, offering organizational leaders practical solutions for improving meetings.

This chapter aims to familiarize the reader with some of the important aspects of tourism geography in the German-speaking countries. It starts with a primarily historical-genetic perspective on tourism development and the theoretical traditions associated with them. The second section describes the structure of the discipline, with a focus on the institutionalization of the field in the universities including their research specialization. The chapter maintains that tourism geography plays a marginal role compared with other subdisciplines of geography, though this is reflected primarily in its institutionalization and less so in the research undertaken. The last section deals with the current challenges and future prospects in German-speaking geographies of tourism from a problem-centered perspective.