How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics

Mäntymäki, Matti; Hyrynsalmi, Sami; Koskenvoima, Antti

doi:10.1007/s10796-019-09913-1

Cited by 27 publications

(21 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Existing research shows that future research will benefit from exploring the antecedents of the adoption decisions from a microlevel perspective [ 81 ]. Moreover, as the freemium business model is extremely popular among various web-based services and software firms [ 107 , 108 ], existing research highlights that future research could examine consumers’ willingness to make in-app purchases in the context of self-tracking and the quantified self [ 61 ].…”

Section: Resultsmentioning

confidence: 99%

How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review

Feng¹,

Mäntymäki²,

Dhir³

et al. 2021

J Med Internet Res

Self Cite

View full text Add to dashboard Cite

Background Self-tracking technologies are widely used in people’s daily lives and health care. Academic research on self-tracking and the quantified self has also accumulated rapidly in recent years. Surprisingly, there is a paucity of research that reviews, classifies, and synthesizes the state of the art with respect to self-tracking and the quantified self. Objective Our objective was to identify the state of the art of self-tracking and the quantified self in terms of health and well-being. Methods We have undertaken a systematic literature review on self-tracking and the quantified self in promoting health and well-being. After a rigorous literature search, followed by inclusions, exclusions, and the application of article quality assessment protocols, 67 empirical studies qualified for the review. Results Our results demonstrate that prior research has focused on 3 stakeholders with respect to self-tracking and the quantified self, namely end users, patients and people with illnesses, and health care professionals and caregivers. We used these stakeholder groups to cluster the research themes of the reviewed studies. We identified 11 research themes. There are 6 themes under the end-user cluster: user motivation and goal setting, usage and effects of self-tracking, continuance intention and long-term usage, management of personal data, rejection and discontinuance, and user characteristics. The patient and people with illnesses cluster contains three themes: usage experience of patients and people with illnesses, management of patient-generated data, and advantages and disadvantages in the clinical context. The health care professional and caregiver cluster contains two themes: collaboration among patients, health care professionals, and caregivers, and changes in the roles of patients and professionals. Moreover, we classified the future research suggestions given in the literature into 5 directions in terms of research designs and research topics. Finally, based on our reflections on the observations from the review, we suggest four future research directions: (1) users’ cognitions and emotions related to processing and interpreting the information produced by tracking devices and apps; (2) the dark side of self-tracking (eg, its adverse psychosocial consequences); (3) self-tracking as a societal phenomenon; and (4) systemic impacts of self-tracking on health care and the actors involved. Conclusions This systematic literature review contributes to research and practice by assisting future research activities and providing practitioners with a concise overview of the state of the art of self-tracking and the quantified self.

show abstract

Section: Resultsmentioning

confidence: 99%

How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review

Feng¹,

Mäntymäki²,

Dhir³

et al. 2021

J Med Internet Res

Self Cite

View full text Add to dashboard Cite

show abstract

“…One of the key characteristics of the freemium model is the differentiation between free and premium versions (Hamari et al, ; Mäntymäki & Islam, ; Wagner et al, ). Commercials incorporated in the free version are a widely used approach to execute this differentiation and to monetize from the base of basic users (Mäntymäki, Hyrynsalmi, & Koskenvoima, ). The commercials frequently interrupt the usage experience and may have a negative effect on basic users' enjoyment.…”

Section: Introductionmentioning

confidence: 99%

What drives subscribing to premium in freemium services? A consumer value‐based view of differences between upgrading to and staying with premium

Mäntymäki

Islam

Benbasat

2019

Information Systems Journal

Self Cite

View full text Add to dashboard Cite

Fostering the conversion of free users to premium subscribers and retaining those premium users are critical objectives for freemium service providers. Building on consumer value theory, we empirically examine the differences between basic and premium users in terms of the emotional, functional, social, epistemic, and economic values driving basic users' decisions to upgrade to premium subscriptions and premium users' decisions to retain their paid subscriptions. We employ enjoyment, intrusiveness of advertising in the free subscription, ubiquity, social connectivity, the discovery of new content, and the price value of the premium subscription as drivers of intentions and test our model using data from a leading digital content service that employs the freemium model. Our results show that enjoyment and price value of the premium subscription predict the intention to upgrade to premium, whereas the intention to retain the premium subscription is driven by ubiquity and the discovery of new content. Interestingly, social connectivity has no effect on the intention to upgrade but does have a small negative effect on the intention to retain the premium subscription. Contrary to our expectations, intrusiveness of advertising in the free subscription had a negative effect on the price value of the premium subscription. Collectively, our results imply that the intention to retain the premium subscription is influenced by attribute‐level value perceptions such as ubiquity, the discovery of new content, and social connectivity whereas the intention to upgrade is driven by benefits, ie, enjoyment and price value of the premium subscription.

show abstract

“…This layer includes functional elements such as analytics. The broad acceptance of the fermium business model as well as the advent of cost-effective analytics solutions has made analytics more accessible (Mäntymäki et al, 2020). Many firms have embraced analytics to make data-driven choices and improve daily operations as a result of the influx of data in various forms (Zolbanin et al, 2019) and B2B is not an exception (Hallikainen et al, 2020;Wang et al, 2020).…”

Section: Functional Layer Componentmentioning

confidence: 99%

A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B Perspective

et al. 2022

View full text Add to dashboard Cite

A platform is a business model that allows business-to-business (B2B) participants to connect, interacts, create and exchange value. B2B exploits social media for brand building and branding is vulnerable to attacks, which leads to a brand crisis. B2B should characterise such crisis and respond proportionally to avert damage to social listening (SL). To diminish damages, the solution is to measure customer experience (CX), especially in a crisis situation. The study proposes an analytics-enabled customer experience (AeCX) platform for emotion detection in social media and measures CX after recovering from such crisis, by exploring recovery time objective (RTO), recovery point objective (RPO), techno-business features (TBF), SL and perceived risk (PR). A quantitative research methodology is used on primary data collected from 302 B2B participants. The study reveals improvement in CX and the results provide evidence that social media channels and the TBF of AeCX have become important.

show abstract

How Do Small and Medium-Sized Game Companies Use Analytics? An Attention-Based View of Game Analytics

Cited by 27 publications

References 63 publications

How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review

How Self-tracking and the Quantified Self Promote Health and Well-being: Systematic Review

What drives subscribing to premium in freemium services? A consumer value‐based view of differences between upgrading to and staying with premium

A Techno-Business Platform to Improve Customer Experience Following the Brand Crisis Recovery: A B2B Perspective

Contact Info

Product

Resources

About