Developer-Led Adoption of Open Source Software Libraries: A Conceptual Model

Researchers have historically viewed Open Source Software (OSS) as a homogenous group of technologies and assumed adoption behaviors are uniform among OSS types. Focus on specific OSS types is rare and OSS libraries, in particular, have been underrepresented. This paper recognizes the unique characteristics of OSS libraries and notes that their adoption may receive less organizational scrutiny than other software packages. A conceptual model based on an augmented theory of Task Technology Fit (TTF) is offered to provide insight into OSS library adoption. If supported, this model represents not only a theoretical contribution to the OSS literature, but a source of actionable information for practitioners engaged in software development

Use of a liquid-crystal, heater-element composite for quantitative, high-resolution heat transfer coefficients on a turbine airfoil, including turbulence and surface roughness effects

Local heat transfer coefficients were measured along the midchord of a three-times-size turbine vane airfoil in a static cascade operated at roon temperature over a range of Reynolds numbers. The test surface consisted of a composite of commercially available materials: a Mylar sheet with a layer of cholestric liquid crystals, which change color with temperature, and a heater made of a polyester sheet coated with vapor-deposited gold, which produces uniform heat flux. After the initial selection and calibration of the composite sheet, accurate, quantitative, and continuous heat transfer coefficients were mapped over the airfoil surface. Tests were conducted at two free-stream turbulence intensities: 0.6 percent, which is typical of wind tunnels; and 10 percent, which is typical of real engine conditions. In addition to a smooth airfoil, the effects of local leading-edge sand roughness were also examined for a value greater than the critical roughness. The local heat transfer coefficients are presented for both free-stream turbulence intensities for inlet Reynolds numbers from 1.20 to 5.55 x 10 to the 5th power. Comparisons are also made with analytical values of heat transfer coefficients obtained from the STAN5 boundary layer code

HRTEM and Molecular Modeling of the MoS 2-Co9 S 8 Interface: Understanding the Promotion Effect in Bulk HDS Catalysts

As environmental regulations increase, more selective transition metal sulfide (TMS) catalytic materials for hydrotreating applications are needed. Highly active TMS catalysts become more and more desirable triggering new interest for unsupported Co-promoted MoS2-based systems that have high volumetric activity as reported here. Contrary to the common observation for alumina-supported MoS2-based catalysts, we found in our previous studies with dibenzothiophene (DBT) hydrodesulfurization (HDS) that the catalytic activity is directly proportional to the increase of surface area of the sulfide phases (Co9S8 and MoS2) present in Co-promoted MoS2 unsupported catalysts. This suggests that activity is directly connected with an increase of the contact surface area between the two sulfide phases. Understanding of the nature of the possible interaction between MoS2 and Co9S8 in unsupported catalytic systems is therefore critical in order to get a more generalized overview of the causes for synergy. This has been achieved herein through the detailed characterization by XRD, XPS, and HRTEM of the highly active Co9S8/MoS2 catalyst resulting in a proposed model for a Co9S8/MoS2 interface. This model was then subjected to a DFT analysis to determine a reasonable description of the surface contact region between the two bulk phases. Modelling of the interface shows the creation of open latent vacancy sites on Mo atoms interacting with Co and formation of direct Co-Mo bonds. Strong electron donation from Co to Mo also occurs through the intermediate sulfur atom bonded to both metals while an enhanced metallic character is also found. These changes in coordination and electronic properties are expected to favor a synergetic effect between Co and Mo at the proposed localized interface region between the two bulk MoS2 and Co9S8 phases.CONACYT, Mexico 207997MRTI of UTEP, Cotton Trust UTEPMicrolectronics Research Lab of UT-Austin and Departamento de Educacion y Cultura of Gobierno del Estado de ChihuahuaMicroelectronics Research Cente

The Role of AI in Perceptions of Distributive, Procedural, and Interactional Justice

Artificial Intelligence (AI) has seen explosive growth in development and publicity in recent years. Some estimates predict that AI may be responsible for as much as 25% of the growth in the US economy by the year 2035, and organizations in a wide range of industry sectors are seeking to employ AI to capture heretofore inaccessible benefits. Likewise, high quality management and leadership have been recognized both in the academic and practitioner literatures as a core component of organizational performance. As AI continues to evolve, it is predicted to play a more central role in organizational processes traditionally conducted through human-to-human interaction. The goal of this study is to identify how the substitution of AI as an intelligent actor within a business process influences the social system in which that process operates

The Truth About Numbers: Subjectivity in the CRISP-DM Process

Analytics is undoubtedly changing the efficiency and decision making of businesses. Because analytics is inherently numeric, there is a false sense of security in their certainty; however, those that do the work can quickly identify where decisions could be made differently in the modeling process. This big idea presentation considers research on subjectivity in the CRISP-DM process

Understanding the Nature of Online News Addiction

Being aware of the happenings in a community has always been of interest to humans, but the current state of news availability is unprecedented. This convenience is driving behavioral changes that manifest in online news addiction. In this research, we seek to understand antecedents to online news addiction as a need to be socially connected. We posit that an individual’s social identity creates envy, fear of missing out, and anxiety. These factors lead to frequent news checking to the point of addiction. Through this research we expect to provide guidance on the role of social identity in technology addictions, as well as new offerings that can lead to online news addiction. In the current environment of misinformation, this research will be informative for reducing online news addiction

Artificial Intelligence in Business: A Literature Review and Research Agenda

The rise of artificial intelligence (AI) technologies has created promising research opportunities for the information systems (IS) discipline. Through applying latent semantic analysis, we examine the correspondence between key themes in the academic and practitioner discourses on AI. Our findings suggest that business academic research has predominantly focused on designing and applying early AI technologies, while practitioner interest has been more diverse. We examine these differences in the socio-technical continuum context and relate existing literature on AI to core IS research areas. In doing so, we identify existing research gaps and propose future research directions for IS scholars related to AI and organizations, AI and markets, AI and groups, AI and individuals, and AI development

Using qualitative research to explore intervention mechanisms: findings from the trial of the Learning Together whole-school health intervention.

BACKGROUND: This study reports on qualitative research conducted within a randomised controlled trial to explore possible intervention mechanisms. It focuses on the 'Learning Together' whole-school intervention delivered in secondary schools in England from 2014 to 2017 aiming to prevent bullying and aggression and improve student health. Intervention schools received staff training in restorative practice, a social and emotional learning curriculum, and an external facilitator and manual to convene and run a student/staff action group tasked with coordinating the intervention, focusing this on local needs. METHODS: Informed by realist approaches to evaluation, we analysed qualitative data to explore intervention mechanisms and how these might interact with school contexts to generate outcomes. Qualitative analysis drew on 45 interviews and 21 focus groups across three case-study schools and employed thematic content analysis to explore how intervention resources were taken up and used by local actors, how participants described the intervention mechanisms that then ensued, and how these might have generated beneficial outcomes. RESULTS: The thematic content analysis identified three social mechanisms that recurred in participant accounts: (1) building student commitment to the school community, (2) building healthy relationships by modelling and teaching pro-social skills, and (3) de-escalating bullying and aggression and enabling re-integration within the school community. CONCLUSIONS: Our analysis provides in-depth exploration of possible mechanisms and the contextual contingencies associated with these, allowing refinement of the initial intervention theory of change. TRIAL REGISTRATION: ISRCTN registry 10751359 . Registered on 11 March 2014

Correction to: Using qualitative research to explore intervention mechanisms: findings from the trial of the learning together whole-school health intervention.

An amendment to this paper has been published and can be accessed via the original article