Viewpoint: Mobile Market Research, 2014

Poynter, Ray

doi:10.2501/ijmr-2014-050

Cited by 5 publications

(3 citation statements)

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“…While Marcus (1995), Watts and Urry (2008) as well as Buscher and Urry (2009) see mobile ethnography as multi-sited and therefore as a walk along ethnographic research, Stickdorn and Zehrer (2009), Segelström and Holmlid (2011) and Stickdorn and Frischhut (2009) follow the concept of self-or auto-ethnography (Coffey, 1999;Alvesson, 2003;Chang, 2008) and claim that the tourist him-or herself collects data without the presence of a researcher. Koschel (2018) states, that the main advantages of mobile ethnography include research in real-time (Stickdorn, Frischhut, & Schmid, 2014;Poynter, Williams & York, 2014), with authentic, spontaneous data collection through video, photo, audio and text, longer spans of field work, a bigger number of cases SIS International Research, 2015), simultaneous and multicultural observations throughout various countries or regions, no bias through the researcher present, an easy capture of emotions, moods and sensations, of everyday life, less cost and time-intensity as well as a possibility or multi-perspectivity. Furthermore it minimizes recall bias (Schwarz, 2007) as it enables researchers to capture both cognitive as well as emotional factors at the same time (Urry, 2007).…”

Section: Mobile Ethnography As An Innovative Research Methodsmentioning

confidence: 99%

Mobile Ethnography as an Innovative Tool for Customer Experience Research in Tourism – A Case of the Tourism Destination Upper Austria

Bosio

Prunthaller²

2019

ARA:JTR

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Service marketing has evolved from focussing on products to services to experiences. Enterprises are nowadays competing for and looking for competitive advantages in experiences rather than customer satisfaction. Even though customer experience management is nothing new, it is a field that has evolved strongly in the last years. Especially in tourism destinations, various local tourism providers struggle with providing high service quality throughout the whole customer journey. Customer experience management has thus become an interesting approach also in tourism research. This paper applies customer experience research by using an innovative research method. Mobile ethnography as a qualitative method transfers the classic ethnographic approach by using mobile devices. Thus, the customer becomes a researcher himself and has the possibility to self-structure his or her data. Especially for tourism destinations, this method allows to “follow” the guest throughout the geographical space that he or she uses and collects data in real-time and in-situ. It therefore overcomes many of the disadvantages of both classic survey studies and ethnography. However briefing of participants and incentivising them turned out to be the main challenges in two projects carried out in the Austrian province of Upper Austria.

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Section: Mobile Ethnography As An Innovative Research Methodsmentioning

confidence: 99%

Mobile Ethnography as an Innovative Tool for Customer Experience Research in Tourism – A Case of the Tourism Destination Upper Austria

Bosio

Prunthaller²

2019

ARA:JTR

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“…There are three main areas of interest (Link et al . 2014;Poynter 2014) . First, there is great interest in so-called 'in the moment' measurement .…”

Section: Introductionmentioning

confidence: 99%

Device use in Web Surveys

Mavletova

Couper

2016

International Journal of Market Research

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This paper hypothesises that conditional differential incentives can increase overall participation rates and the proportion of respondents who use a particular device in web surveys. Previous studies have not found effective ways of encouraging participants to use smartphones to complete web surveys. We conducted an experiment using a volunteer online access panel in Russia with 5,474 invitations sent to regular mobile internet users. We varied the invitation mode (SMS vs email) and encouragement to use a particular device for completing the survey: mobile phone or personal computer (PC). SMS increased the proportion of mobile web respondents, while email increased the proportion of PC web respondents. As expected, differential incentives increased the overall participation rates by 8–10 percentage points if higher incentives were offered for completing the survey on a mobile phone. Contrary to expectations, offering higher incentives to PC web respondents did not produce higher participation rates compared to the control condition. Both encouraging the use of a mobile phone and offering higher incentives were effective at increasing the proportion of respondents using mobile devices. In terms of both participation rates and the proportion of respondents using mobile devices, offering incentives 50% higher was as efficient as offering incentives 100% higher for mobile web respondents. Offering higher incentives to mobile web respondents also had an effect on sample composition. Significantly higher participation rates were found among females and those with higher education.

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“…In another empirical article, Mathur et al (2012) studied the impact of social media usage on consumer purchasing behavior. Further, Poynter (2011) proposed that from a commercial point of view, social media research can be divided into three categories: social media monitoring (business purpose), purposed communities and other form of social media research (e.g. netnography).…”

Section: Introductionmentioning

confidence: 99%

Personal Financial Aggregation and Social Media Mining

Gupta

Khanna

Kim

2014

International Journal of Business Intelligence Research

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Consumers have been banking and trading online for several years now. More ambitious and tech savvy consumers have also been constructing an overview of their financial life by using Personal Finance software like Quicken and online tools such as Yodlee and Mint.com. Since late 1999, Personal Financial Aggregators (PFAs) have started offering internet based services to automate this process of account aggregation. This web account aggregation allows individuals to log onto one Web site and view all of their online accounts in one place. Online accounts that can be aggregated include financial sites (bank, credit card, brokerage, insurance, etc.) as well as lifestyle-based sites (travel awards, email, chat rooms, etc.). The idea behind Personal Financial Aggregation is to offer consumers their own personal portal from which they can see all their finances at a glance, balance and rebalance accounts, make investments, pay bills, etc. In addition to this Web data aggregation, consumers are relying on social media sites such as facebook, tweeter and other internet forums to get financial advice from each other and also to critique various financial products and services. As a result, many Financial Institutions (FIs) are using social media analysis and mining to shape their businesses. FIs include consumer banks, brokerages, insurance, wealth management firms, etc. This paper presents a framework for financial institutions that combines social media mining, web mining, online advice engines, and web aggregation. This framework can be utilized by FIs to analyze online buzz about their products/services and combine those insights with web aggregation and online advice to create different revenue streams and to offer personalized bundled products and services. The authors conducted interviews with various executives at the Global Financial institutions and insurance companies to test and validate this framework. A comprehensive review of top service providers and vendors that can enable and drive this framework is also discussed in this paper, followed by managerial implications, benefits and challenges.

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Viewpoint: Mobile Market Research, 2014

Cited by 5 publications

References 0 publications

Mobile Ethnography as an Innovative Tool for Customer Experience Research in Tourism – A Case of the Tourism Destination Upper Austria

Mobile Ethnography as an Innovative Tool for Customer Experience Research in Tourism – A Case of the Tourism Destination Upper Austria

Device use in Web Surveys

Personal Financial Aggregation and Social Media Mining

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