scholarly journals Using A Project To Add Practicality To Pedagogy

2007 ◽  
Vol 4 (2) ◽  
Author(s):  
Don Yates ◽  
Brian Smith
Keyword(s):  
South Carolina ◽  
Online Survey ◽  
Marketing Research ◽  
Secondary Data ◽  
Research Process ◽  
University Of South Carolina ◽  
City Tourism ◽  
Recent Project ◽  
The Impact ◽  
City Revitalization

In the marketing research class taught at University of South Carolina, Upstate School of Business and Economics, pedagogical emphasis is placed on the marketing research process as it relates to the policies and functions of the business enterprise. Historically, the marketing research project has been used in this undergraduate class to convey the nuances of market research to students. Participating students define the problem or opportunity for their client, determine budgets and timetables, select and design the research instrument(s), collect the data, organize and analyze the data, and present the project findings. A recent project, which involved work for the City of Sunshine, identified, measured, and analyzed specific “quality of life” variables and assessed the impact of the city’s revitalization efforts on the perceptions of its citizens. The study targeted three population sectors using questionnaires for data collection. The data was consolidated and analyzed by the students using WebSurveyor’s online survey tools. Comparative analysis was also performed using secondary data sources such as city tourism and visitor information, as well as sundry information from previous projects and similar city revitalization plans. The results of their analysis and corresponding conclusions are outlined in this paper.

Lessons Learned Over More than 500 Stroke Thrombectomies Using ADAPT With Increasing Aspiration Catheter Size

Neurosurgery ◽  
2018 ◽  
Author(s):  
Ali Alawieh ◽  
A Rano Chatterjee ◽  
Jan Vargas ◽  
M Imran Chaudry ◽  
Jonathan Lena ◽  
...  
Keyword(s):  
South Carolina ◽  
Standard Of Care ◽  
Multivariate Regression Analysis ◽  
Lessons Learned ◽  
Stent Retriever ◽  
Complication Rates ◽  
Procedure Time ◽  
University Of South Carolina ◽  
Endovascular Thrombectomy ◽  
The Impact

Abstract BACKGROUND Endovascular thrombectomy is currently the standard of care for acute ischemic stroke (AIS). Although earlier trials on endovascular thrombectomy were performed using stent retrievers, recently completed the contact aspiration vs stent retriever for successful revascularization (ASTER) and a comparison of direct aspiration versus stent retriever as a first approach (COMPASS) trials have shown the noninferiority of direct aspiration. OBJECTIVE To report the largest experience with ADAPT thrombectomy and compare the impact of advancement in reperfusion catheter technologies on outcomes. METHODS We reviewed a retrospective database of AIS patients who underwent ADAPT thrombectomy between January 2013 and November 2017 at the Medical University of South Carolina. Demographics and baseline characteristics, technical variables, and radiological and clinical outcomes were reviewed. RESULTS Among 510 patients (mean age: 67.7, 50.6% females), successful recanalization at first pass was achieved in 61.8%, and with aspiration only in 77.5%. Mean procedure time was 27.4 min, and the rate of good outcomes (mRS 0-2) at 90 d was 42.9%. The rate of recanalization with aspiration only was significantly higher, and procedure time was significantly lower in patients treated with larger catheters (ACE 064 and ACE 068) compared to smaller catheters (5 MAX and ACE, P < .05). There were no differences in complication rates or postoperative parenchymal hemorrhage across groups (P > .05); however, use of ACE 068 was an independent predictor of good outcomes at 90 d on multivariate regression analysis (odds ratio = 1.6, P < .05). CONCLUSION Refinement of ADAPT thrombectomy by incorporating reperfusion catheters with higher inner diameters and thus higher aspiration forces is associated with better outcomes, shorter procedure times, and lower likelihood of using additional devices without impacting complication rates.

The Implementation of Singkawang City Tourism Political Policy in Facing the Impact of Covid-19

2021 ◽  
Vol 12 (1) ◽  
pp. 24-24
Author(s):  
Martoyoa Martoyoa ◽  
Elyta Elyta
Keyword(s):  
Information Technology ◽  
Data Analysis ◽  
Secondary Data ◽  
Qualitative Approach ◽  
Digital Platforms ◽  
Political Policy ◽  
Descriptive Research ◽  
City Tourism ◽  
Unit Coordination ◽  
The Impact

Before the Covid-19 pandemic occurred, Indonesia's tourism development had a strategic meaning when viewed from multiple aspects. However, in March 2020, the condition has now turned around. Tourism is one of the hardest hit by the Covid-19 pandemic, including tourism in Singkawang City, Indonesia. This study aims to analyze the implementation of Singkawang City's tourism political policy in dealing with the impact of Covid-19. The type of research used is descriptive research with a qualitative approach. The researcher collected primary and secondary data through interviews and documentation studies. Data analysis was carried out in systematic stages, starting from presenting the data that had been collected, summarizing, and making conclusions. The researcher found that the tourism policy of Singkawang City in dealing with the impact of Covid-19 was implemented through the Regional Representative Council on the new normal economy; refocusing budget reallocation; the implementation of leading tourism events according to health protocols; implementation of cross-unit coordination and application of managerial interpretation; and operations utilizing information technology, digital platforms, and online applications. Keywords: Political Policy; Tourism Politics; Covid-19

What Factors Influence Consumer Preferences for Search and Credence Seafood Characteristics? an Empirical Analysis in Kentucky and South Carolina

2018 ◽  
Vol 18 (2) ◽  
Author(s):  
English Ratliff ◽  
Michael Vassalos ◽  
Wuyang Hu
Keyword(s):  
South Carolina ◽  
Online Survey ◽  
Predictive Power ◽  
Consumer Preferences ◽  
Direct Marketing ◽  
Demographic Variables ◽  
Purchasing Decisions ◽  
Consumption Frequency ◽  
Seafood Products ◽  
The Impact

AbstractConsistent with preferences for other food products, consumers increasingly care about a range of search and credence seafood characteristics such as: environmental effects and product form. This study utilized a dataset obtained from an online survey, and a Multivariate Ordered Probit formulation to examine the impact of: demographic characteristics, lifestyle preferences, and seafood consumption frequency on preferences for selected seafood attributes. The findings indicate that the factors influencing consumer preferences differ across the attributes examined. Although some demographic variables have a statistically significant effect on consumers’ preferences for seafood attributes other than price, their predictive power was limited regarding preferences for wild-caught, fresh seafood and the impact of sustainability on purchasing decisions. Furthermore, consumers who utilize direct marketing outlets have stronger preferences towards fresh and wild-caught seafood products.

scholarly journals Wellbeing during the COVID-19 pandemic in the UK: a secondary data analysis

2021 ◽  
Author(s):  
Jen Murphy ◽  
Mark Elliot
Keyword(s):  
Mental Health ◽  
Online Survey ◽  
National Level ◽  
Secondary Data ◽  
Well Being ◽  
Ordinary Least Squares ◽  
Least Squares Regression ◽  
The Uk ◽  
Survey Responses ◽  
The Impact

Introduction: In March 2020 in response to the COVID pandemic the UK government declared a national lockdown where citizens were required to stay at home. The impact of this lockdown on levels of well-being has been a source of concern for citizens and mental health professionals.Objectives: We investigated the trajectory of well-being over the course of the ?first wave and sought to determine whether the change in well-being is distributed equally across the population. Speci?fically we investigated pre-existing medical conditions, social isolation, ?financial stress and deprivation as a predictor for well-being and whether there were community level characteristics which protect against poorer well-being.Methods: Using online survey responses from the COVID19 modules of Understanding society, we linked 8,379 English cases across ?five waves of data collection to location based deprivation statistics. We used ordinary least squares regression to estimate the association between deprivation, pre-existing conditions and socio-demographic factors and the change in well-being scores over time, as measured by the GHQ-12 questionnaire.Results: A decline in well-being was observed at the beginning of the fi?rst lock down period at the beginning of March 2020. This was matched with a corresponding recovery between April and July as restrictions were gradually lifted. There was no association between the decline and deprivation, nor between deprivation and recovery. The strongest predictor of well-being during the lockdown, was the baseline score, with the counterintuitive finding that for those will pre-existing poor well-being, the impact of pandemic restrictions on mental health were minimal, but for those who had previously felt well, the restrictions and the impact of the pandemic on well-being were much greater.Conclusion: These data show no evidence of a social gradient in well-being related to the pandemic. In fact, wellbeing was shown to be highly elastic in this period indicating a national level of resilience which cut across the usually observed health inequalities.

scholarly journals Impact of Macroeconomic Variables on Karachi Stock Market Returns

2018 ◽  
Vol 10 (2) ◽  
pp. 28 ◽  
Author(s):  
Javed Pervaiz ◽  
Junaid Masih ◽  
Teng Jian-Zhou
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Stock Market ◽  
Secondary Data ◽  
Research Process ◽  
Market Returns ◽  
Stock Market Returns ◽  
Macroeconomic Variables ◽  
Index Value ◽  
The Impact

The study investigated The study examines the impact of selected macroeconomic variables (inflation, exchange rate, interest rate) on Karachi stock market returns. Mainly secondary data used in the research process. The study consists of data for the period of 10 years and 5 months starting from January 2007 till May 2017. For this purpose, monthly data of KSE-100 index has been observed for the period January 2007 to May 2017. The market returns have been calculated through the opening and closing index value of each month. The inflation, interest rate, and exchange rate has been taken as independent variables. Hypotheses have been tested to find out whether there exists a significant relationship between the Stock market return and macroeconomic variables or not. To test this hypothesis, Regression analysis used and results are calculated through Stata software.

scholarly journals Sharing Economy: A Study on the Factors Influencing Users' Motivation to Use Ride Sharing Platforms

2019 ◽  
Vol 14 (1) ◽  
pp. 65
Author(s):  
Rosdiana Sijabat
Keyword(s):  
Online Survey ◽  
Secondary Data ◽  
Sharing Economy ◽  
Positive Influence ◽  
Primary Data ◽  
Technological Factors ◽  
Ride Sharing ◽  
Social Environmental ◽  
The Impact ◽  
The Empirical Analysis

<p>This research is intended to explore sharing economy, particularly ride sharing. The study aims to identify the impact of four factors—economic, social, environmental, and technological—on individuals' motivation and decision to use three ride sharing platforms: UBER, GRAB and Go-JEK in Indonesia. Based on available literature, four research hypotheses are tested, namely that (1) economic factors; (2) social factors;(3)  environmental factors; and (4) technological factors have positive influence on individuals' motivation and decision to use ride sharing services. Primary and secondary data are used to answer the research questions. Primary data were obtained through an online survey of 355 respondents, while secondary data were obtained from various related literatures. The research is both descriptive and quantitative in nature, the empirical analysis suggest that economic, social, environmental, and technological factors are positively associated with users' decision to use ride sharing.</p><p><em><strong>Bahasa Indonesia</strong> <em><strong>Abstrak: </strong></em>Penelitian ini bertujuan untuk mengeksplorasi konsep sharing economy, khususnya ride sharing. Secara khusus, studi ini bertujuan untuk mengidentifikasi pengaruh dari empat factor, yaitu faktor ekonomi, sosial, lingkungan, dan teknologi terhadap motivasi dan keputusan individu untuk menggunakan tiga platform perjalanan bersama: UBER, GRAB, dan Go-JEK di Indonesia. Berdasarkan literatur yang tersedia, empat hipotesis penelitian diuji, yaitu bahwa (1) faktor ekonomi; (2) faktor sosial; (3) faktor lingkungan; dan (4) faktor teknologi memiliki pengaruh positif terhadap motivasi dan keputusan individu untuk menggunakan layanan ride sharing. Data primer dan sekunder digunakan untuk menjawab pertanyaan penelitian. Data primer diperoleh melalui survei online terhadap 355 responden, sedangkan data sekunder diperoleh dari berbagai literatur terkait. Penelitian ini bersifat deskriptif dan kuantitatif, analisis empiris menunjukkan bahwa faktor ekonomi, sosial, lingkungan, dan teknologi secara positif terkait dengan keputusan pengguna untuk menggunakan berbagi perjalanan.</em></p>

scholarly journals What KPIs Are Key? Evaluating Performance Metrics for Social Media Influencers

2019 ◽  
Vol 5 (3) ◽  
pp. 205630511986547 ◽  
Author(s):  
Jan-Frederik Gräve
Keyword(s):  
Social Media ◽  
Online Survey ◽  
Performance Metrics ◽  
Secondary Data ◽  
Media Communication ◽  
Trade Off ◽  
Quantitative Metrics ◽  
Multiple Metrics ◽  
Social Media Communication ◽  
The Impact

Measuring the impact of social media communication is a prominent and pertinent challenge; the commercialization of social media influencers (SMIs) in the form of so-called influencer marketing makes this effort even more complicated. Companies that embrace influencer marketing have limited control over content and context, so they must evaluate both the SMIs and the content they post, prior to and during their collaborations. Although quantitative success metrics (e.g., number of followers, number of likes) are readily available, it remains unclear whether such metrics offer appropriate proxies for evaluating an SMIs or the outcomes of an influencer marketing campaign. By combining secondary data on influencer marketing campaigns from Instagram with an online survey among marketers, this study finds that professionals generally rely on an SMI’s reach and number of interactions as success metrics. When they must trade off across multiple metrics, these professionals predominantly rely on comment sentiment, indicating their implicit awareness that the commonly used metrics are inadequate. A regression analysis affirms that only the sentiment measure correlates positively with professional content evaluations, so this study both challenges the use of common quantitative metrics to evaluate SMI content and emphasizes the relevance of content-based metrics.

scholarly journals Access to the Rail Station as a Customer Value: Simulation of Passenger Flows in Rail Stations with Disinfection Gateway Installations

2020 ◽  
Vol 6 (4) ◽  
pp. 122 ◽  
Author(s):  
Roman Sidorchuk ◽  
Irina Skorobogatykh ◽  
Anastasia Lukina ◽  
Sergey Mkhitaryan ◽  
Anastasia Stukalova
Keyword(s):  
Public Space ◽  
Customer Value ◽  
Online Survey ◽  
Flow Simulation ◽  
Secondary Data ◽  
Passenger Flow ◽  
Transport Services ◽  
Passenger Flows ◽  
The Impact ◽  
Rail Station

This research applied secondary data collection methods to predict passenger flows, which involved analyzing traffic flows at rail stations and statistical methods, which involved assessing the relationship between variables and regression. Observation methods were used to measure current passenger flows at the rail station entrances. Passengers’ safety perception was assessed to understand the customer value of transport services. This assessment was based on an online survey, an analysis of official requests from passengers to the station directorates, and feedback from passengers and station visitors posted on the Internet. Traditional and content analysis methods were used to study passengers’ requests and feedbacks. It was substantiated that due to the COVID-19 pandemic, the concept of transportation security and the role of health safety as a customer value in passenger service have become more prominent. The possibility for passenger flow simulation to ensure people’s safe passage through a disinfection gateway is clearly shown. Public space management structures in transportation hubs can use the simulation results of this paper to solve the problem of passenger flow control along with installation of disinfection gateways at the station entrances for additional security. This is one of the few studies that explores the impact of using disinfection gateways to manage passenger flows in train stations.

scholarly journals Implikasi Erupsi Gunung Agung Terhadap Atraksi Wisata Air Di Daya Tarik Wisata Pantai Melasti, Desa Serangan, Kecamatan Denpasar Selatan, Kota Denpasar Bali

2019 ◽  
Vol 7 (1) ◽  
pp. 97
Author(s):  
Melinda Novenia ◽  
Luh Putu Kerti Pujani
Keyword(s):  
Secondary Data ◽  
Working Hours ◽  
Primary Data ◽  
City Tourism ◽  
Secondary Data Source ◽  
Tourism Service ◽  
Tourism Attractions ◽  
Almost All ◽  
The Impact ◽  
Depth Interviews

Tourism attraction by watersport on Melasti Beach Serangan from the beginning of December 2017 until mid- December 2017 the number of tourist visits has decreased to reach its lowest point of zero percent, and as for some of the tourist services business attractions are laid off in a certain period due to the eruption of Mount Agung. This research related to the implications of the eruption of Mount Agung on Melasti Serangan Beach is to find out how much the impact of the Mount Agung eruption on tourism on Serangan Island was located quite far from Mount Agung Consept that used to discuss the problems in this study is the concept of implication and concept of watersports. The method use qualitative data analysis techniques by conducting observations, in-depth interviews, and documentation. The technique of determining the informant is done by purposive sampling. Source of data obtained primary data sources in the form of in-depth interviews to the management of watersport tourism attractions in Melasti Serangan Beach and direct observation in the field. The secondary data source of this study is in the form of the Denpasar City tourism service website, such as the number of tourist visits to Serangan Island and previous research journals related to this study. The implication of the eruption of Mount Agung on watersport tourism attractions in Melasti Serangan Beach includes a direct influence which has resulted in a decrease in tourist visits. The influence referred includes changes in operational hours, but without shortening working hours. Almost all employees experience a policy of laying off a maximum of 20 days. A decrease in the number of tourist visits, especially in December. Similarly, the amount of income earned only reaches less than 50% of normal days.   Keywords : implication, eruption, management, watersport

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