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2 results for “gig economy”
Gig economy in Poland
<p>This repository contains four datasets about the number of active users of selected mobile apps purchased from Selectivv company (https://selectivv.com/). Details regarding the data may be found below:</p> <p>How data was collected: Selectivv uses programmatic advertisements systems that collect information on about 24 mln smartphone users in Poland</p> <p><strong>Apps</strong>: </p> <ul> <li>Transportation: Uber, Bolt Driver, FREE NOW, iTaxi, </li> <li>Delivery: Glover, Takeaway, Bolt Courier, Wolt; </li> </ul> <p><strong>Unit</strong>: an active user of a given app. Active = used given app at least 1 minute in a given period (e.g. 1 unit during whole month, half-year).</p> <p><strong>Period</strong>: 2018-2018; monthly and half-year data</p> <p><strong>Spatial</strong> <strong>aggregation</strong>: country level, city level, functional area level, voivodeship level. Functional area is defined as here https://stat.gov.pl/en/regional-statistics/regional-surveys/urban-audit/larger-urban-zones-luz/ </p> <p><strong>Activity time</strong>: measured by activity time of given app (in hours; average and standard deviation) </p> <p>Datasets:</p> <ol> <li><strong>gig-table1-monthly-counts-stats.csv</strong> -- the monthly number of active users;</li> <li><strong>gig-table2-halfyear-demo-stats.csv</strong> -- the half-year number of active users by socio-demographic variables;</li> <li><strong>gig-table3-halfyear-region-stats.csv</strong> -- the half-year number of active users by spatial aggregation;</li> <li><strong>gig-table4-halfyear-activity-stats.csv</strong> -- the half-year activity time by working week, weekend, day (8-18) and night (18-8).</li> </ol> <p>Detailed description: </p> <p><strong>1. gig-table1-monthly-counts-stats.csv</strong></p> <p>Structure: </p> <ul> <li>month - YYYY-MM-DD -- we set all dates to 15th of given month but actually the data is about the whole month (active users in whole period); 2018-01-15 to 2021-12-15</li> <li>app -- app name (Uber, Bolt Driver, FREE NOW, iTaxi, Glover, Takeaway, Bolt Courier, Wolt)</li> <li>number_of_users -- the number of active users</li> <li>category -- Transportation, Deliver</li> </ul> <p><strong>2. gig-table2-halfyear-demo-stats.csv </strong></p> <p>Structure: </p> <ul> <li>gender -- men, women</li> <li>age -- 18-30, 31-50, 51-64</li> <li>country -- Poland, Ukraine, Other</li> <li>period -- 2018.1, 2018.2, 2019.1, 2019.2, 2020.1, 2021.2</li> <li>apps -- app name (Uber, Bolt Driver, FREE NOW, iTaxi, Glover, Takeaway, Bolt Courier, Wolt)</li> <li>number_of_users -- the number of active users</li> <li>students -- the share of students within a given row</li> <li>parents_of_children_0_4_years -- the share of parents of 0-4 years children in a given row</li> <li>parents_of_children_5_10_years -- the share of parents of 5-10 years children in a given row</li> <li>women_planning_a_baby -- the share of women planing a baby in a given row</li> <li>standard -- the share of standard smartphones in a given row</li> <li>premium_i_phone -- the share of iPhone smartphones in a given row</li> <li>other_premium -- the share of other premium smartphones in a given row</li> <li>category -- Transportation, Delivery</li> </ul> <p><strong>3. gig-table3-halfyear-region-stats.csv</strong></p> <p>Structure:</p> <ul> <li>group -- Voivodeship, Functional Area, Cities</li> <li>period -- 2018.1, 2018.2, 2019.1, 2019.2, 2020.1, 2021.2</li> <li>region_name:</li> <li>Cities -- Białystok, Bydgoszcz, Gdańsk, Gdynia, Gorzów Wielkopolski, Katowice, Kielce, Kraków, Łódź, Lublin, Olsztyn, Opole, Poznań, Rzeszów, Sopot, Szczecin, Toruń, Warszawa, Wrocław, Zielona Góra</li> <li>Functional Area -- Functional area - Białystok, Functional area - Bydgoszcz, Functional area - Gorzów Wielkopolski, Functional area - GZM, Functional area - GZM2, Functional area - Kielce, Functional area - Kraków, Functional area - Łódź, Functional area - Lublin, Functional area - Olsztyn, Functional area - Opole, Functional area - Poznań, Functional area - Rzeszów, Functional area - Szczecin, Functional area - Toruń, Functional area - Trójmiasto, Functional area - Warszawa, Functional area - Wrocław, Functional area - Zielona Góra</li> <li>Voivodeship -- dolnośląskie, kujawsko-pomorskie, łódzkie, lubelskie, lubuskie, małopolskie, mazowieckie, opolskie, podkarpackie, podlaskie, pomorskie, śląskie, świętokrzyskie, warmińsko-mazurskie, wielkopolskie, zachodniopomorskie</li> <li>apps -- app name (Uber, Bolt Driver, FREE NOW, iTaxi, Glover, Takeaway, Bolt Courier, Wolt)</li> <li>number_of_users -- the number of active users</li> <li>category -- Transportation, Delivery</li> </ul> <p>Please note that:</p> <ul> <li>the number of active users in a given functional area = number of active users in a city and a functional area of this city</li> <li>the number of active users in voivodeship = number of active users in a city, its functional area and the rest of the voivodeship where this city and functional area is located </li> </ul> <p>More details here: https://stat.gov.pl/en/regional-statistics/regional-surveys/urban-audit/larger-urban-zones-luz/ </p> <p><strong>4. gig-table4-halfyear-activity-stats.csv</strong></p> <p>Structure:</p> <ul> <li>period -- 2018.1, 2018.2, 2019.1, 2019.2, 2020.1, 2021.2</li> <li>apps -- app name (Uber, Bolt Driver, FREE NOW, iTaxi, Glover, Takeaway, Bolt Courier, Wolt)</li> <li>day -- Mondays-Thursdays, Fridays-Sundays</li> <li>hour -- day (8-18), night (18-8)</li> <li>activity_time -- in hours </li> <li>statistic -- Average, Std.Dev. (standard deviation)</li> <li>category -- Transportation, Delivery</li> </ul>
A STUDY ON GIG ECONOMY AND REDEFINING EMPLOYMENT IN BHOPAL DISTRICT
<p>The Gig economy has had an enormous impact on the nature and status of employment. The <br>Fourth Industrial Revolution, adoption of Exponential Technologies and digital platform have <br>changed the traditional full-time, stable individual employment system but also bring tremendous <br>job opportunities in the form of on-demand freelance contractor work to unemployed workforce <br>especially Millennials. It is disrupting the way in which we work, who we work with and where <br>we work from. This paper explained what the gig economy is, what are the challenges facing by <br>workforce and Indian Economy and its impact on nature and status of employment. This paper is <br>tried to analyze the millenials" perspective regarding the gig jobs, employment status under gig <br>economy and also tried to explore the factors which should be included in overall employment <br>system. This paper also gives an overview for Best Practices to be adopted for framing policies <br>and regulations of workers under gig economy. A total of 124 gig workers from taxi aggregator <br>services of Bhopal District have been selected for this Study. Our study concluded that the most of <br>the gig workers earn their primary income through gig job and they would like to continue this gig <br>job on permanent basis</p>
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