Mobile Application Developers' Platform Choice Model

Puvvala, Abhinay; Dutta, Amitava; Roy, Rahul; Seetharaman, Priya

doi:10.1109/hicss.2016.707

Cited by 7 publications

(6 citation statements)

References 25 publications

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“…In total 101 responses had been recorded by SurveyPlanet after 14 days, at which point we locked the survey and extracted the data. We find that the sample size ( = 101) is of comparable size to similar studies, including those by Francese et al [35] at 82 respondents, Puvvala et al [36] frameworks they use, in which column six is dedicated to hobby usage while column seven to professional usage.…”

Section: Survey Responsesupporting

confidence: 69%

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An Empirical Study of Cross-Platform Mobile Development in Industry

Biørn-Hansen

Grønli

Ghinea

et al. 2019

Wireless Communications and Mobile Computing

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The purpose of this study is to report on the industry’s perspectives and opinions on cross-platform mobile development, with an emphasis on the popularity, adoption, and arising issues related to the use of technical development frameworks and tools. We designed and conducted an online survey questionnaire, for which 101 participants were recruited from various developer-oriented online forums and websites. A total of five questions are reported in this study, of which two employed a Likert scale instrument, while three were based on multiple choice. In terms of technical frameworks, we find that PhoneGap, the Ionic Framework, and React Native were the most popular in use, both in hobby projects and in professional settings. The participants report an awareness of trade-offs when embracing cross-platform technologies and consider penalties in performance and user experience to be expected. This is also in line with what is reported in academic research. We find patterns in the reported perceived issues which match both older and newer research, thus rendering the findings a point of departure for further endevours.

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Section: Survey Responsesupporting

confidence: 69%

“…We also identified a study by Puvvala et al [36], focusing on interviewing and surveying mobile developers. With this study, the authors are interested in the creation of a model for choice of mobile platforms, backed by empiricism of the questionnaires conducted.…”

Section: Previous Workmentioning

confidence: 99%

An Empirical Study of Cross-Platform Mobile Development in Industry

Biørn-Hansen

Grønli

Ghinea

et al. 2019

Wireless Communications and Mobile Computing

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show abstract

“…Puvvala [26], conducted a survey to investigate mobile development, and used a Delphi study with 11 senior developers to identify the top four factors influencing platform choice: development costs, ease of coding, support, and expected return. They then used these factors to create a survey on their impact on developers' platform choices, finding that availability of SDKs was the most significant factor.…”

Section: B Literature Studiesmentioning

confidence: 99%

Industrial Practitioner Perspective of Mobile Applications Programming Languages and Systems

Mahmoud¹,

Muhammad²,

Yousef³

et al. 2023

IJACSA

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The growth of mobile application development industry made it crucial for researchers to study the industry practices of choosing mobile applications programming languages, systems, and tools. With the increased attention of cross-platform mobile applications development from both researchers and industry, this paper aims at answering the question of whether most of the industries are using crossplatform development or native development. The paper collects feedback about industry's most used mobile development systems. In addition, it provides a map of the different technologies used by mobile applications development companies according to some of the demographics like company size and location. An online questionnaire is carried out to collect the data. The survey targeted both amateur and professional mobile developers. A total of 85 participants participated in answering the survey. Qualitative analysis using descriptive statistics is done on the results of the survey. Although the results show that there is an industrial trend towards using the cross-platform languages, native development is still used by the well-established companies. More than 50% of the participants are found to be aware of the performance issues of the cross-platform development languages and frameworks. Comparison with findings of related work is discussed which raises more research questions and draws out future research in this field.

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“…Generativity thus refers to a platform's ability to stimulate third‐party development and may be measured as the diversity of available applications (Cennamo and Santalo, 2019). Moreover, generativity determines the platform's functional scope as well as its attractiveness for third‐party developers (Puvvala et al, 2016; Hein et al, 2019). Although some platform owners offer self‐developed applications – SAP for instance is offering its own applications in the SAP Store – platform ecosystems typically derive much of their value from third‐party applications.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The role of knowledge boundary resources for platform ecosystems – insights and design implications from SAP's Business Technology Platform

Kauschinger,

Schreieck,

Krcmar

2023

R & D Management

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Platform ecosystems shift the locus of innovation from internal departments to third‐party developers, leading to knowledge boundaries between the platform owner and these external developers. Whereas traditional knowledge management approaches focus on intra‐organizational knowledge sharing, platform owners have to adopt an inter‐organizational approach to integrate knowledge across firm boundaries. Platform owners thus rely on knowledge boundary resources such as technical documentation, information portals, training materials, sample code, blogs, and online communities to overcome knowledge boundaries in their ecosystems. Existing research has identified different types of knowledge boundaries and knowledge boundary resources, but further research is needed to clarify how they influence third‐party application development. Against this background, we study how third‐party developers integrate knowledge boundary resources into their development practices. To derive an in‐depth understanding of the phenomenon, we used cognitive fit theory and conducted a single case study of SAP's Business Technology Platform. Based on 23 interviews, we developed a process model and distilled two primary purposes why third‐party developers use knowledge boundary resources: learning and problem‐solving. Based on these purposes, we explain the emergence of a knowledge boundary resource‐purpose fit that shapes the selection, evaluation, and usage of knowledge boundary resources. We then draw upon various knowledge boundary resource characteristics to condense four cases with a particularly favorable knowledge boundary resource‐purpose fit. Based on our results, we derive five propositions to help platform owners design effective knowledge boundary resources.

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Mobile Application Developers' Platform Choice Model

Cited by 7 publications

References 25 publications

An Empirical Study of Cross-Platform Mobile Development in Industry

An Empirical Study of Cross-Platform Mobile Development in Industry

Industrial Practitioner Perspective of Mobile Applications Programming Languages and Systems

The role of knowledge boundary resources for platform ecosystems – insights and design implications from SAP's Business Technology Platform

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