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The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes
تحول دیجیتال نوآوری و کارآفرینی: پیشرفت ، چالش ها و مضامین کلیدی-2019 The emergence of novel and powerful digital technologies, digital platforms and digital infrastructures has
transformed innovation and entrepreneurship in significant ways. Beyond simply opening new opportunities for
innovators and entrepreneurs, digital technologies have broader implications for value creation and value
capture. Research aimed at understanding the digital transformation of the economy needs to incorporate
multiple and cross-levels of analysis, embrace ideas and concepts from multiple fields/disciplines, and explicitly
acknowledge the role of digital technologies in transforming organizations and social relationships. To help
realize this research agenda, we identify three key themes related to digitization—openness, affordances, and
generativity—and, outline broad research issues relating to each. We suggest that such themes that are innate to
digital technologies could serve as a common conceptual platform that allows for connections between issues at
different levels as well as the integration of ideas from different disciplines/areas. We then summarize the
contributions of the 11 papers presented in this Special Issue relating them to one or more of these themes and
outlining their implications for future research. Keywords: Digital transformation | Innovation | Entrepreneurship | Digital innovation | Digital platforms | Openness | Generativity | Affordance |
مقاله انگلیسی |
2 |
Writing on writing
نوشتن روی نوشتن-2018 It is uncommon to find a behavior analytic or scientific analysis of creativity or of creative behaviors of people in the arts. This article looks at the use of direct instruction to teach writing to elementary through high school students. It also includes analyses of the author’s writing behaviors across three years while writing works of creative nonfiction, behavior analysis articles, and poetry. The analyses include frequency, celeration, and variability of behavioral and environmental events. The project shows that the processes of writing (generating new ideas, thinking about writing) and the products (words written, edits made) can be analyzed behaviorally.
keywords: Writing| Process and product| Generativity| Creativity| Inner behavior| Thoughts| Standard celeration charting (SCC)| Frequency| Celeration| Bounce| Effects of death on behavior| Teaching writing |
مقاله انگلیسی |
3 |
MERRA Analytic Services: Meeting the Big Data challenges of climate science through cloud-enabled Climate Analytics-as-a-Service
خدمات تحلیلی MERRA: برآورده کردن چالش های داده های بزرگ علمی آب و هوایی از طریق تجزیه و تحلیل آب و هوا به عنوان یک سرویس یکپارچه شده توسط ابر-2017 Climate science is a Big Data domain that is experiencing unprecedented growth. In our efforts to address the Big
Data challenges of climate science, we are moving toward a notion of Climate Analytics-as-a-Service (CAaaS). We
focus on analytics, because it is the knowledge gained from our interactions with Big Data that ultimately produce
societal benefits. We focus on CAaaS because we believe it provides a useful way of thinking about the problem: a
specialization of the concept of business process-as-a-service, which is an evolving extension of IaaS, PaaS, and
SaaS enabled by Cloud Computing. Within this framework, Cloud Computing plays an important role; however,
we see it as only one element in a constellation of capabilities that are essential to delivering climate analytics as a
service. These elements are essential because in the aggregate they lead to generativity, a capacity for self
assembly that we feel is the key to solving many of the Big Data challenges in this domain. MERRA Analytic Ser
vices (MERRA/AS) is an example of cloud-enabled CAaaS built on this principle. MERRA/AS enables MapReduce
analytics over NASA’s Modern-Era Retrospective Analysis for Research and Applications (MERRA) data collection.
The MERRA reanalysis integrates observational data with numerical models to produce a global temporally and
spatially consistent synthesis of 26 key climate variables. It represents a type of data product that is of growing
importance to scientists doing climate change research and a wide range of decision support applications.
MERRA/AS brings together the following generative elements in a full, end-to-end demonstration of CAaaS capa
bilities: (1) high-performance, data proximal analytics, (2) scalable data management, (3) software appliance
virtualization, (4) adaptive analytics, and (5) a domain-harmonized API. The effectiveness of MERRA/AS has
been demonstrated in several applications. In our experience, Cloud Computing lowers the barriers and risk to
organizational change, fosters innovation and experimentation, facilitates technology transfer, and provides
the agility required to meet our customers’ increasing and changing needs. Cloud Computing is providing a
new tier in the data services stack that helps connect earthbound, enterprise-level data and computational re
sources to new customers and new mobility-driven applications and modes of work. For climate science,
Cloud Computing’s capacity to engage communities in the construction of new capabilities is perhaps the most
important link between Cloud Computing and Big Data.
Keywords:MapReduce|Hadoop|Data analytics|Data services|Cloud Computing|Generativity|iRODS|MERRA|ESGF|BAER |
مقاله انگلیسی |