scholarly journals Life between buildings from a street view image: What do big data analytics reveal about neighbourhood organisational vitality?

Urban Studies ◽  
2020 ◽  
pp. 004209802095719
Author(s):  
Mingshu Wang ◽  
Floris Vermeulen
Keyword(s):  
Big Data ◽  
Built Environment ◽  
Social Life ◽  
Big Data Analytics ◽  
Building Blocks ◽  
Street View ◽  
Urban Neighbourhoods ◽  
Mixed Use ◽  
The Social ◽  
The Relationship

This article uses big data from images captured by Google Street View (GSV) to analyse the extent to which the built environment impacts the survival rate of neighbourhood-based social organisations in Amsterdam, the Netherlands. These organisations are important building blocks for social life in urban neighbourhoods. Examining these organisations’ relationships with their environment has been a useful way to study their vitality. To extract data on built environment features from GSV images, we applied a deep learning model, DeepLabv3+. We then used elastic net regression to test the relationship between the built environment empirically – distinguishing between car-related, walking-related and mixed-use land infrastructure – and the survival of neighbourhood organisations. This testing approach is novel, to our knowledge not yet having been applied in Urban Studies. Besides revealing the effects of built environment features on the social life between buildings, our study points to the value of easily applicable observational big data. Data captured by GSV and other recently developed methods offer researchers the opportunity to conduct detailed yet relatively swift and inexpensive studies without resorting to overly coarse or common subjective measurements.

Esteem and self-esteem as an interweaving polarity. Max Weber´s analysis from the Protestant ethic to the ideal-type of politician

Human Affairs ◽  
2020 ◽  
Vol 30 (3) ◽  
pp. 353-364
Author(s):  
Cristiana Senigaglia
Keyword(s):  
Social Life ◽  
Max Weber ◽  
Modern Society ◽  
Self Esteem ◽  
Protestant Ethic ◽  
Social Reputation ◽  
Conduct Of Life ◽  
The Social ◽  
The Relationship ◽  
The Ideal

AbstractAlthough Max Weber does not specifically analyze the topic of esteem, his investigation of the Protestant ethic offers interesting insights into it. The change in mentality it engendered essentially contributed to enhancing the meaning and importance of esteem in modern society. In his analysis, Weber ascertains that esteem was fundamental to being accepted and integrated into the social life of congregations. Nevertheless, he also highlights that esteem was supported by a form of self-esteem which was not simply derived from a good social reputation, but also achieved through a deep and continual self-analysis as well as a strict discipline in the ethical conduct of life. The present analysis reconstructs the different aspects of the relationship between social and self-esteem and analyzes the consequences of that relationship by focusing on the exemplary case of the politician’s personality and ethic.

Dave Snowden on KM and big data/analytics: interview with David J. Pauleen

2017 ◽  
Vol 21 (1) ◽  
pp. 12-17 ◽  
Author(s):  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Theory And Practice ◽  
Content Type ◽  
Face To Face ◽  
The Relationship ◽  
A Company ◽  
Practical Implications ◽  
Scientific Officer

Purpose Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the development of the theory and practice of social complexity, he offers informative views on the relationship between big data/analytics and KM. Design/methodology/approach A face-to-face interview was held with Dave Snowden in May 2015 in Auckland, New Zealand. Findings According to Snowden, analytics in the form of algorithms are imperfect and can only to a small extent capture the reasoning and analytical capabilities of people. For this reason, while big data/analytics can be useful, they are limited and must be used in conjunction with human knowledge and reasoning. Practical implications Snowden offers his views on big data/analytics and how they can be used effectively in real world situations in combination with human reasoning and input, for example in fields from resource management to individual health care. Originality/value Snowden is an innovative thinker. He combines knowledge and experience from many fields and offers original views and understanding of big data/analytics, knowledge and management.

scholarly journals Big Data Analytic Framework for Organizational Leverage

2021 ◽  
Vol 11 (5) ◽  
pp. 2340
Author(s):  
Sanjay Mathrani ◽  
Xusheng Lai
Keyword(s):  
Big Data ◽  
Web Sites ◽  
Big Data Analytics ◽  
Building Blocks ◽  
Application Service ◽  
Data Application ◽  
Other Information ◽  
Big Data Application ◽  
Diverse Data ◽  
Framework System

Web data have grown exponentially to reach zettabyte scales. Mountains of data come from several online applications, such as e-commerce, social media, web and sensor-based devices, business web sites, and other information types posted by users. Big data analytics (BDA) can help to derive new insights from this huge and fast-growing data source. The core advantage of BDA technology is in its ability to mine these data and provide information on underlying trends. BDA, however, faces innate difficulty in optimizing the process and capabilities that require merging of diverse data assets to generate viable information. This paper explores the BDA process and capabilities in leveraging data via three case studies who are prime users of BDA tools. Findings emphasize four key components of the BDA process framework: system coordination, data sourcing, big data application service, and end users. Further building blocks are data security, privacy, and management that represent services for providing functionality to the four components of the BDA process across information and technology value chains.

Big data analytics capabilities and organizational performance: the mediating effect of dual innovations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaofeng Su ◽  
Weipeng Zeng ◽  
Manhua Zheng ◽  
Xiaoli Jiang ◽  
Wenhe Lin ◽  
...  
Keyword(s):  
Big Data ◽  
Organizational Performance ◽  
Empirical Analysis ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Mediating Effect ◽  
Content Type ◽  
Mediating Role ◽  
The Relationship

PurposeFollowing the rapid expansion of data volume, velocity and variety, techniques and technologies, big data analytics have achieved substantial development and a surge of companies make investments in big data. Academics and practitioners have been considering the mechanism through which big data analytics capabilities can transform into their improved organizational performance. This paper aims to examine how big data analytics capabilities influence organizational performance through the mediating role of dual innovations.Design/methodology/approachDrawing on the resource-based view and recent literature on big data analytics, this paper aims to examine the direct effects of big data analytics capabilities (BDAC) on organizational performance, as well as the mediating role of dual innovations on the relationship between (BDAC) and organizational performance. The study extends existing research by making a distinction of BDACs' effect on their outcomes and proposing that BDACs help organizations to generate insights that can help strengthen their dual innovations, which in turn have a positive impact on organizational performance. To test our proposed research model, this study conducts empirical analysis based on questionnaire-base survey data collected from 309 respondents working in Chinese manufacturing firms.FindingsThe results support the proposed hypotheses regarding the direct and indirect effect that BDACs have on organizational performance. Specifically, this paper finds that dual innovations positively mediate BDACs' effect on organizational performance.Originality/valueThe conclusions on the relationship between big data analytics capabilities and organizational performance in previous research are controversial due to lack of theoretical foundation and empirical testing. This study resolves the issue by provides empirical analysis, which makes the research conclusions more scientific and credible. In addition, previous literature mainly focused on BDACs' direct impact on organizational performance without making a distinction of BDAC's three dimensions. This study contributes to the literature by thoroughly introducing the notions of BDAC's three core constituents and fully analyzing their relationships with organizational performance. What's more, empirical research on the mechanism of big data analytics' influence on organizational performance is still at a rudimentary stage. The authors address this critical gap by exploring the mediation of dual innovations in the relationship through survey-based research. The research conclusions of this paper provide new perspective for understanding the impact of big data analytics capabilities on organizational performance, and enrich the theoretical research connotation of big data analysis capabilities and dual innovation behavior.

scholarly journals KONVERSI KEAGAMAAN PASCA 1965, MENGURAI DAMPAK SOSIAL BUDAYA DAN HUBUNGAN ISLAM KRISTEN DI PEDESAAN JAWA

Harmoni ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 218-240
Author(s):  
M. Alie Humaedi
Keyword(s):  
Social Relations ◽  
Social Life ◽  
Economic Resources ◽  
The Political ◽  
The Social ◽  
National Archives ◽  
Islam And Christianity ◽  
Political Economic ◽  
Heating Up ◽  
The Relationship

The relationship between Islam and Christianity in various regions is often confronted with situations caused by external factors. They no longer debate the theological aspect, but are based on the political economy and social culture aspects. In the Dieng village, the economic resources are mostly dominated by Christians as early Christianized product as the process of Kiai Sadrach's chronicle. Economic mastery was not originally as the main trigger of the conflict. However, as the political map post 1965, in which many Muslims affiliated to the Indonesian Communist Party convert to Christianity, the relationship between Islam and Christianity is heating up. The question of the dominance of political economic resources of Christians is questionable. This research to explore the socio cultural and religious impact of the conversion of PKI to Christian in rural Dieng and Slamet Pekalongan and Banjarnegara. This qualitative research data was extracted by in-depth interviews, observations and supported by data from Dutch archives, National Archives and Christian Synod of Salatiga. Research has found the conversion of the PKI to Christianity has sparked hostility and deepened the social relations of Muslims and Christians in Kasimpar, Petungkriono and Karangkobar. The culprit widened by involving the network of Wonopringgo Islamic Boarding. It is often seen that existing conflicts are no longer latent, but lead to a form of manifest conflict that decomposes in the practice of social life.

scholarly journals Bought and Sold: Exploring the Effects of Big Data on User Agency and Commodification

2021 ◽  
Author(s):  
Kristia M. Pavlakos
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Data Privacy ◽  
Large Data ◽  
Data Sets ◽  
Privacy Regulation ◽  
Scholarly Literature ◽  
User Interests ◽  
The Social ◽  
The Relationship

Big Data1is a phenomenon that has been increasingly studied in the academy in recent years, especially in technological and scientific contexts. However, it is still a relatively new field of academic study; because it has been previously considered in mainly technological contexts, more attention needs to be drawn to the contributions made in Big Data scholarship in the social sciences by scholars like Omar Tene and Jules Polonetsky, Bart Custers, Kate Crawford, Nick Couldry, and Jose van Dijk. The purpose of this Major Research Paper is to gain insight into the issues surrounding privacy and user rights, roles, and commodification in relation to Big Data in a social sciences context. The term “Big Data” describes the collection, aggregation, and analysis of large data sets. While corporations are usually responsible for the analysis and dissemination of the data, most of this data is user generated, and there must be considerations regarding the user’s rights and roles. In this paper, I raise three main issues that shape the discussion: how users can be more active agents in data ownership, how consent measures can be made to actively reflect user interests instead of focusing on benefitting corporations, and how user agency can be preserved. Through an analysis of social sciences scholarly literature on Big Data, privacy, and user commodification, I wish to determine how these concepts are being discussed, where there have been advancements in privacy regulation and the prevention of user commodification, and where there is a need to improve these measures. In doing this, I hope to discover a way to better facilitate the relationship between data collectors and analysts, and user-generators. 1 While there is no definitive resolution as to whether or not to capitalize the term “Big Data”, in capitalizing it I chose to conform with such authors as boyd and Crawford (2012), Couldry and Turow (2014), and Dalton and Thatcher (2015), who do so in the scholarly literature.

When the Rainbows Bring the Crawfish

2021 ◽  
Vol 21 (2) ◽  
pp. 90-101
Author(s):  
V. Constanza Ocampo-Raeder
Keyword(s):  
Human Nature ◽  
Social Life ◽  
Biological Diversity ◽  
River Valley ◽  
Cultural Meanings ◽  
Liminal Space ◽  
The Social ◽  
Wide Range ◽  
The Relationship

In this article I present the social life of camarones, a Peruvian river crustacean used in some of the region’s favorite dishes, and the liminal space they occupy in the geography, minds, and ecosystem of Peru and its people. I situate the relationship between these crawfish and the folks who capture them, known as camaroneros, within insights of environmental anthropologists and food scholars who also explore the connections between cultural and biological diversity and the entangled socio-ecological histories that inform the manner in which nature is mediated and understood by local societies. In this article, however, I expand this understanding to reveal unexpected spaces of engagement, especially those that emerge while eating, which tend to be overlooked by bounded notions of culture and nature and limit the ways we can imagine human-nature relationships. Via the story of camarones and camaroneros of one river valley of Peru, I argue that eating is a socio-ecological act that is imbued with profound cultural meanings involving a wide range of participants—not just farmers or producers—each with their own ecological identities yet still implicitly linked to one another through the process of producing, preparing, and consuming food.

Multisensory experience for enhancing hotel guest experience

2019 ◽  
Vol 31 (11) ◽  
pp. 4313-4337 ◽  
Author(s):  
Minwoo Lee ◽  
Seonjeong (Ally) Lee ◽  
Yoon Koh
Keyword(s):  
Big Data ◽  
Customer Satisfaction ◽  
Business Intelligence ◽  
Critical Role ◽  
Big Data Analytics ◽  
Cognitive Effort ◽  
Content Type ◽  
The Relationship ◽  
Multisensory Experience

Purpose This study aims to investigate the effect of customers’ multisensory service experience on customer satisfaction with cognitive effort and affective evaluations using big data and business intelligence techniques. Design/methodology/approach Online customer reviews for all New York City hotels were collected from Tripadvisor.com and analyzed through business intelligence and big data analytics techniques including data mining, text analytics, sentiment analysis and regression analysis. Findings The current study identifies the relationship between affective evaluations (i.e. positive affect and negative affect) and customer satisfaction. Research findings also find the negative effect of reviewer’s cognitive effort on satisfaction rating. More importantly, this study demonstrates the moderating role of multisensory experience as an innovative marketing tool on the relationship between affect/cognitive evaluation and customer satisfaction in the hospitality setting. Originality/value This study is the first study to explore the critical role of sensory marketing on hotel guest experience in the context of hotel customer experience and service innovation, based on big data and business intelligence techniques.

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