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Ultrasonic additive manufacturing (UAM) is a rapid prototyping process through which multiple thin layers of material are sequentially ultrasonically welded together to form a finished part. While previous research into the peak temperatures experienced during UAM have been documented, a thorough examination of the heating and cooling curves has not been conducted to date.

For this study, UAM weldments made from aluminum 3003‐H18 tapes with embedded Type‐K thermocouples were examined. Finite element modeling was used to compare the theoretical thermal diffusion rates during heating to the observed heating patterns. A model was used to calculate the effective thermal diffusivity of the UAM build on cooling based on the observed cooling curves and curve fitting analysis.

Embedded thermocouple data revealed simultaneous temperature increases throughout all interfaces of the UAM build directly beneath the sonotrode. Modeling of the heating curves revealed a delay of at least 0.5 seconds should have existed if heating of lower interfaces was a result of thermal diffusion alone. As this is not the case, it was concluded that ultrasonic energy is absorbed and converted to heat at every interface beneath the sonotrode. The calculated thermal diffusivity of the build on cooling was less than 1 percent of the reported values of bulk aluminum, suggesting that voids and oxides along interfaces throughout the build may be inhibiting thermal diffusion through thermal contact resistance across the interface.

This work systematically analyzed the thermal profiles that develop during the UAM process. The simultaneous heating phenomenon presented here has not been documented by other research programs. The findings presented here will enable future researchers to develop more accurate models of the UAM process, potentially leading to improved UAM bond quality.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This chapter presents empirical evidence on the effects of attributional retraining (AR), a motivation-enhancing treatment that can offset maladaptive explanatory mind-sets arising from adverse learning experiences. The evidence shows that AR is effective for assisting college students to adapt to competitive and challenging achievement settings.

This chapter describes the characteristics of AR protocols and details three primary advances in studying AR efficacy in terms of achievement performance, psychosocial outcomes, and processes that mediate AR-performance linkages. The psychological mechanisms that underpin AR effects on motivation and performance are outlined from the perspective of Weiner’s (1974, 1986, 2012) attribution theory.

Laboratory and field studies show that AR treatments are potent interventions that have short-term and long-lasting psychosocial, motivation, and performance benefits in achievement settings. Students who participate in AR programs are better off than their no-AR counterparts not just in their cognitive and affective prospects, but they also outperform their no-AR peers in class tests, course grades, and grade-point-averages, and are more persistent in terms of course credits and graduation rates.

This paper contributes to the emerging literature on treatment interventions in achievement settings by documenting key advances in the development of AR protocols and by identifying the next steps critical to moving the literature forward. Further progress in understanding AR efficacy will rest on examining the analysis of complex attributional thinking, the mediation of AR treatment effects, and the boundary conditions that moderate AR treatment efficacy.

This study aims to use a theoretical-based case study of two distinct ownership groups of the Jack Daniel’s brand to explore how rhetorical history (i.e. malleability of the past for strategic goals) may evoke and capitalize on different forms of nostalgia. Within, the authors configure four forms of nostalgia (i.e. personal, historical, collective and cultural) from the individual or collective interaction and level of direct experience one has with the past as lived or happened.

This study uses an historical research approach which involved the identification of primary and secondary sources, facility tour, source criticism and triangulation to create themes of rhetorical history infused with nostalgic narratives using compelling evidence through rich description of this fusion.

The findings reveal how nostalgia-driven narratives reflecting different collective longing for the re-creation of an American Paradise Lost used by Jack Daniel (i.e. the man) and later but differently by Brown-Forman. This study uncovers how the company’s inherited past was used rhetorically throughout its history, beginning with the nostalgic story of Jack Daniel and the distillery’s nostalgically choreographed location in Lynchburg, Tennessee. This study delves into this setting to highlight the importance of symbols, details, emotional appeals and communications for collective memory and identity development and to showcase the ways in which they are influenced by different types and forms of nostalgia.

This study adds to a limited number of studies focused on understanding the impact of founders on an organization’s brand and how that is malleable. This study responds to scholarly calls to study the influence of sequenced historical rhetoric on an organization and highlight the relevance of social emotions such as nostalgia for rhetorical history. Finally, the theoretical contribution involves the advancing and construction of a theory typology of nostalgia previously proposed by Havlena and Holak in 1996.

Develops an original 12‐step management of technology protocol and applies it to 51 applications which range from Du Pont’s failure in Nylon to the Single Online Trade Exchange for Auto Parts procurement by GM, Ford, Daimler‐Chrysler and Renault‐Nissan. Provides many case studies with regards to the adoption of technology and describes seven chief technology officer characteristics. Discusses common errors when companies invest in technology and considers the probabilities of success. Provides 175 questions and answers to reinforce the concepts introduced. States that this substantial journal is aimed primarily at the present and potential chief technology officer to assist their survival and success in national and international markets.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

To overcome change management challenges, organizations often rely on stories as means of communication. Storytelling has emerged as a leading change management tool to influence and bring people on sharing knowledge. Nevertheless, this study aims to suggest stories of change as a more effective tool that helps people in taking action toward transformation processes.

The authors apply design science research to develop and evaluate how writing a prospective story engages organizational actors in the transformation process. The authors test the story-making artifact in a field study with five companies and 115 employees who participated in 75 workshops.

Using the findings to discuss the role of story-making in facilitating the emergence of new behaviors in transformation processes, the authors link story-making with the opportunity to make change happen through knowledge dissemination rather than merely understanding it.

The authors illustrate the role of iterations, peers and self-criticism that help story-makers embrace sensemaking, developing a shared knowledge based that influence individual actions.

The authors propose the story-making approach that organizations can follow to nurture change to make transformation happen through knowledge cocreation.

The research explores story-making as an individual act of writing prospective stories to facilitate the emergence of new behaviors through shared knowledge.

Recent literature has highlighted the importance of human resource management, knowledge management, and technical innovation as key elements for achieving competitive advantage. Furthermore, research has shown a positive relationship between these three variables. However, empirical research on this issue is still scarce. This paper analyzes those linkages using structural equation modeling with data collected from 373 Spanish firms. The findings show that there is a relationship among the variables, although it is more complex than described in previous studies.