scholarly journals Emerging Location-Based Service Data on Perceiving and Measuring Multifunctionality of Rural Space: A Study of Suzhou, China

2019 ◽  
Vol 11 (20) ◽  
pp. 5862
Author(s):  
Yuan Yuan ◽  
Hongbo Li ◽  
Xiaolin Zhang ◽  
Xiaoliang Hu ◽  
Yahua Wang
Keyword(s):  
Data Driven ◽  
Future Research ◽  
Location Based Service ◽  
Social Surveys ◽  
Rural Space ◽  
Reported Data ◽  
Service Data ◽  
Rural Transition ◽  
Research Period ◽  
Technological Restriction

Understanding how human mobilities reconstruct contemporary rural space is of great significance to multifunctional rural transition. However, conventional approaches adopted by social surveys have a technological restriction on collecting data of individual behavior, such as limited samples, subjective self-reported data, and time-consuming investigation. This study proposes a data-driven methodology to explore multifunctionality of rural space by employing the real-time Tencent user quantity (RTUQ) data to analyze the quantity and distribution of observables in rural space. Based on over 250,000 records of hourly RTUQ data during a one-week research period, we perceive spatiotemporal variation of human mobilities in three differentiated villages in Suzhou, China, as well as measure function of residence, employment and consumption on holidays, weekdays and weekends using original equations of function index. Results show that the RTUQ data is valid and reliable for perceiving dynamic patterns of human mobilities at village level, as well as offering new implication for transitional pathways of decision-making. The proposed method is proved to be suitable for distinguishing and comparing multifunctionality of rural space in various times and places, future research on exploring contemporary rural space towards multifunctionality with more geospatial big data is put forward.

Relative Importance of Leader Influences for Subordinates’ Proactive Behaviors, Prosocial Behaviors, and Task Performance

2014 ◽  
Vol 13 (2) ◽  
pp. 70-86 ◽  
Author(s):  
Dan S. Chiaburu ◽  
Troy A. Smith ◽  
Jiexin Wang ◽  
Ryan D. Zimmerman
Keyword(s):  
Task Performance ◽  
Transformational Change ◽  
Future Research ◽  
Contingent Reward ◽  
Work Effectiveness ◽  
Leader Influence ◽  
Member Exchange ◽  
Proactive Behaviors ◽  
Reported Data ◽  
Transactional Leader

We meta-analytically examine the relationships between three forms of leader influence, contingent reward (transactional), leader-member exchange (LMX; relational), and transformational (change-oriented) on subordinates’ proactive behaviors. Using non-self-reported data from a combined sample of more than 9,000 employees, we confirm positive relationships between leader influences and employee proactive outcomes. We examine the extent to which one leadership influence is stronger than the others in promoting subordinate proactivity. By combining our new meta-analytic data with existing meta-analytic correlations, we further investigate the extent to which various leadership predictors are differentially related to proactive and prosocial contextual performance, and to task performance. For all outcomes, there are only minimal differences between the contingent reward, LMX, and transformational leadership predictors. Using our results, we propose future research directions for the relationship between leader influences and subordinate work effectiveness.

6. The Communicative Pragmatics of Data-Use for Equity: A Theoretical and Methodological Framework

2020 ◽  
Vol 2 (1) ◽  
pp. 117-149
Author(s):  
Mary B. Ziskin
Keyword(s):  
Critical Race Theory ◽  
Communicative Action ◽  
Educational Equity ◽  
Data Use ◽  
College Faculty ◽  
Postsecondary Institutions ◽  
Data Driven ◽  
Future Research ◽  
Education Data ◽  
Critical Qualitative Research

<?page nr="117"?>Abstract Calls for higher education institutions to implement improvements guided by “data-driven” processes are prevalent and widespread. Despite the pervasiveness of this turn toward data, research on how data-use works on the ground in postsecondary institutions—that is, how individuals within institutions make sense of education data and use it to inform practice—is still developing.Drawing on Habermas’ Theory of Communicative Action (TCA), critical-race theory, and methodological guidance on critical-qualitative research methods, this paper synthesizes methodological and substantive insights from P–12 data-use research, with an eye to applying these insights to critical questions on postsecondary educational equity. The result of the review and analysis is a theoretical framework and a set of methodological recommendations for future research on the perceptions and experiences of college faculty, administrators, and practitioners, regarding their data-use and its implications for equity.

scholarly journals Data-Driven Intelligent 3D Surface Measurement in Smart Manufacturing: Review and Outlook

Machines ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 13
Author(s):  
Yuhang Yang ◽  
Zhiqiao Dong ◽  
Yuquan Meng ◽  
Chenhui Shao
Keyword(s):  
High Resolution ◽  
High Performance ◽  
Sampling Design ◽  
Three Dimensional ◽  
Measurement Data ◽  
Data Driven ◽  
Surface Measurement ◽  
Smart Manufacturing ◽  
Future Research ◽  
3D Surface

High-fidelity characterization and effective monitoring of spatial and spatiotemporal processes are crucial for high-performance quality control of many manufacturing processes and systems in the era of smart manufacturing. Although the recent development in measurement technologies has made it possible to acquire high-resolution three-dimensional (3D) surface measurement data, it is generally expensive and time-consuming to use such technologies in real-world production settings. Data-driven approaches that stem from statistics and machine learning can potentially enable intelligent, cost-effective surface measurement and thus allow manufacturers to use high-resolution surface data for better decision-making without introducing substantial production cost induced by data acquisition. Among these methods, spatial and spatiotemporal interpolation techniques can draw inferences about unmeasured locations on a surface using the measurement of other locations, thus decreasing the measurement cost and time. However, interpolation methods are very sensitive to the availability of measurement data, and their performances largely depend on the measurement scheme or the sampling design, i.e., how to allocate measurement efforts. As such, sampling design is considered to be another important field that enables intelligent surface measurement. This paper reviews and summarizes the state-of-the-art research in interpolation and sampling design for surface measurement in varied manufacturing applications. Research gaps and future research directions are also identified and can serve as a fundamental guideline to industrial practitioners and researchers for future studies in these areas.

scholarly journals Deservingness for "Family 500 +" Benefit in Poland: Qualitative Study of Internet Debates

2021 ◽  
Author(s):  
Piotr Michoń
Keyword(s):  
Future Research ◽  
Online Forums ◽  
Time Data ◽  
Social Surveys ◽  
Cash Benefit ◽  
Internet Forums ◽  
Welfare Attitudes ◽  
New Criterion ◽  
First Time ◽  
The Relationship

AbstractThe need for qualitative research of deservingness perception is strongly emphasised in the literature. This article studies the perception of deservingness for a "Family 500 +"—cash benefit in Poland. For the first time, data from online forums was used in the studies of deservingness and welfare attitudes. It allowed to avoid numerous limitations associated with social surveys. The qualitative analysis showed how participants of Internet debates perceive the criteria of deservingness: control, attitude, reciprocity, identity, need, and what are the relations between the criteria. The impurity of all deservingness criteria was indicated and a new criterion “adequacy” was proposed. Moreover due to the fact that the study concerned a concrete, non-abstract family cash benefit addressed the relationship between the perceived deservingness of children and their parents was pointed out. The vast majority of posts on Internet forums referred to deservingness of parents, not children. This is particularly evident in relation to the criteria of control and reciprocity. Presenting the hypothesis of jealousy and scapegoat strategy, the article also shows the direction of future research on deservingness.

scholarly journals A Review of Remote Sensing Image Dehazing

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3926
Author(s):  
Juping Liu ◽  
Shiju Wang ◽  
Xin Wang ◽  
Mingye Ju ◽  
Dengyin Zhang
Keyword(s):  
Remote Sensing ◽  
Data Driven ◽  
Future Research ◽  
Research Focus ◽  
Image Dehazing ◽  
Surface Information ◽  
Haze Removal ◽  
Advantages And Disadvantages ◽  
Extra Information ◽  
Removal Technique

Remote sensing (RS) is one of the data collection technologies that help explore more earth surface information. However, RS data captured by satellite are susceptible to particles suspended during the imaging process, especially for data with visible light band. To make up for such deficiency, numerous dehazing work and efforts have been made recently, whose strategy is to directly restore single hazy data without the need for using any extra information. In this paper, we first classify the current available algorithm into three categories, i.e., image enhancement, physical dehazing, and data-driven. The advantages and disadvantages of each type of algorithm are then summarized in detail. Finally, the evaluation indicators used to rank the recovery performance and the application scenario of the RS data haze removal technique are discussed, respectively. In addition, some common deficiencies of current available methods and future research focus are elaborated.

The Differential Risk Factors of Physically Forced and Alcohol- or Other Drug-Enabled Sexual Assault Among University Women

2009 ◽  
Vol 24 (3) ◽  
pp. 302-321 ◽  
Author(s):  
Christopher P. Krebs ◽  
Christine H. Lindquist ◽  
Tara D. Warner ◽  
Bonnie S. Fisher ◽  
Sandra L. Martin
Keyword(s):  
High Risk ◽  
Sexual Assault ◽  
Future Research ◽  
Web Based ◽  
Campus Sexual Assault ◽  
University Women ◽  
Undergraduate Women ◽  
Reported Data ◽  
Lifestyle Activities ◽  
Very High

The Campus Sexual Assault Study examined whether undergraduate women’s victimization experiences prior to college and lifestyle activities during college were differentially associated with the type of sexual assault they experienced: physically forced sexual assault and incapacitated sexual assault. Self-reported data collected using a Web-based survey administered to more than 5,000 undergraduate women at two large public universities indicated that victimization experiences before college were differentially associated with the risk of experiencing these two types of sexual assault during college. Women who experienced forced sexual assault before college were at very high risk of experiencing forced sexual assault during college (odds ratio [OR] = 6.6). Women who experienced incapacitated sexual assault before college were also at very high risk of experiencing incapacitated sexual assault during college (OR = 3.7). Moreover, women’s substance use behaviors during college, including getting drunk and using marijuana, were strongly associated with experiencing incapacitated sexual assault but were not associated with experiencing forced sexual assault. Implications for education and prevention programs, as well as future research directions, are discussed.

Are We Loving Our National Parks to Death? A Call for Research on Crime and Law Enforcement in the U.S. National Park System

2021 ◽  
pp. 073401682110157
Author(s):  
William Andrew Stadler ◽  
Cheryl Lero Jonson ◽  
Brooke Miller Gialopsos
Keyword(s):  
Law Enforcement ◽  
National Parks ◽  
National Park ◽  
Future Research ◽  
Road Map ◽  
Current State ◽  
Park Service ◽  
Service Data ◽  
National Park System ◽  
The U.S

Despite a recent surge of visitation and frequent media accounts of lawlessness in America’s national parks, little empirical research has been dedicated to crime and law enforcement in the U.S. national park system. The absence of systematic crime and justice research within these protected spaces should raise concern, as recent park service data and intra-agency reports suggest visitor growth, funding and personnel declines, operational shortcomings, and technology constraints may endanger the capacity of the National Park Service (NPS) to adequately address anticipated crime threats in the 21st century. This call for research aims to raise awareness of the contemporary law enforcement challenges facing this federal agency and encourage the study of crime and justice issues within the U.S. national park system. We briefly examine the evolution and current state of NPS law enforcement and its associated challenges and conclude with a conceptual road map for future research occurring in these protected spaces.

Big data-driven strategic orientation in international marketing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahriar Akter ◽  
Md Afnan Hossain ◽  
Qiang (Steven) Lu ◽  
S.M. Riad Shams
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
International Marketing ◽  
Strategic Orientation ◽  
Data Driven ◽  
Future Research ◽  
Content Type ◽  
Strategic Orientations ◽  
Marketing Activities

PurposeBig data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance.Design/methodology/approachThe study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework.FindingsThe findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace.Research limitations/implicationsThe study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review.Originality/valueThe study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines.

White Supervisor and Subordinate Beliefs about Black/White Inequality: Implications for Understanding and Reducing Workplace Racial Disparities

2020 ◽  
Author(s):  
Ryan A Smith ◽  
Matthew O Hunt
Keyword(s):  
Racial Inequality ◽  
Future Research ◽  
Cross Sectional ◽  
Intergroup Contact Theory ◽  
Racial Stratification ◽  
Social Surveys ◽  
Group Position ◽  
Self Interest ◽  
Stratification Beliefs ◽  
Levels Of Support

Abstract This study examines the racial stratification beliefs of white Americans who have decision-making power at work (managers and supervisors) and of those (subordinates) who lack such power. We focus on whether these groups vary in overall levels of support for, and in determinants of, beliefs about racial inequality. Pooled cross-sectional analyses of data from the 1977 to 2014 General Social Surveys (GSS) reveal that, among both white supervisors and subordinates, support is greatest for a motivation-based explanation of black disadvantage, followed by (in order) explanations focusing on blacks’ lesser educational chances, discrimination against blacks, and finally, blacks’ supposed lesser ability. In line with Group Position Theory, our multivariate analyses reveal few differences across the supervisory divide in levels of support for, or in the determinants of, whites’ beliefs about black disadvantage. Differences that do exist align with alternative perspectives including Social Dominance Theory, a Group Self-Interest Model, and Intergroup Contact Theory. We conclude by discussing the theoretical and methodological implications of our findings for future research pertaining to what does and does not work to ameliorate racial inequality in the workplace.

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