Platform Openness: A Systematic Literature Review and Avenues for Future Research

Open platforms such as Facebook or Android have stimulated innovation and competition across industries. Information systems literature has analyzed platforms from a variety of perspectives. The aim of this paper is to synthesize and integrate extant interdisciplinary research on the concept of platform openness. Towards this end, we conducted a literature review and analyzed the results with deductive and inductive coding approaches. We identified five distinct themes: measurement frameworks, implementation mechanisms, drivers for opening and closing platforms, trade-offs in designing openness, and the impact of changing openness on ecosystems. We propose three avenues for future research: finding the optimal degree of platform openness, integrating perspectives on accessibility and transparency, and analyzing the influence of openness and other factors with configurational theories. This paper contributes to research on platforms by laying out the main themes and perspectives in the research stream of platform openness and by identifying areas for future research

KONTRIBUSI INFORMASI MEDIA SOSIAL INSTAGRAM @INDO_PSIKOLOGI UNTUK MEMENUHI KEBUTUHAN INFORMASI MENGATASI KECEMASAN: Analisis Deskriptif pada pengikut akun Instagram @indo_psikologi

Shafira Nanda Widjaya (1901142). Kontribusi Informasi Media Sosial Instagram @indo_psikologi untuk Memenuhi Kebutuhan Informasi Mengatasi Kecemasan. Skripsi. Program Studi Perpustakaan dan Sains Informasi, Fakultas Ilmu Pendidikan, Universitas Pendidikan Indonesia, 2023. Email: [email protected] Skripsi ini berjudul "Kontribusi Informasi Media Sosial Instagram @indo_psikologi untuk Memenuhi Kebutuhan Informasi Mengatasi Kecemasan." Ketika individu mulai merasa tidak nyaman maka individu tersebut akan mulai mencari informasi. Pencarian informasi mengenai gangguan kecemasan tersebut dapat melalu internet ataupun social media. Penelitian ini bertujuan untuk mengetahui sejauh mana kontribusi informasi yang disajikan oleh akun Instagram @indo_psikologi dalam memenuhi kebutuhan informasi mahasiswa yang mengalami kecemasan. Metode penelitian yang digunakan adalah kuantitatif deskriptif dengan pengumpulan data menggunakan kuesioner. Sampel penelitian terdiri dari 100 orang respond yang telah mengikuti akun Instagram @indo_psikologi dan mengalami kecemasan, dipilih melalui simple random sampling. Hasil penelitian menunjukkan bahwa terdapat pengaruh antara Kontribusi Informasi Media Sosial Instagram @indo_psikologi dengan kecemasan. Nilai koefisien determinesi menunjukkan bahwa kedua variabel independen (kontribusi informasi media social Instagram dan kebutuhan informasi) secara bersama-sama berkontribusi terhadap kecemasan. Berdasarkan hasil penelitian dari 100 respond melalui kuesioner, dapat disimpulkan bahwa Kontribusi Informasi Media Sosial Instagram @indo_psikologi dan Kebutuhan Informasi secara bersama-sama mempengaruhi kecemasan. Akun Instagram @indo_psikologi yang diikuti lebih dari 5 juta pengikut memainkan peran penting dalam menyediakan informasi yang relevan dan bermanfaat bagi mahasiswa yang menghadapi kecemasan. Hal ini memberikan wawasan penting tentang peran media sosial sebagai sumber informasi dan dukungan dalam mengatasi tantangan psikologis di era digital ini. Kata Kunci: Kebutuhan Informasi, Kecemasan, Kontribusi Sosial Media

Crowded Social Media: Investigating the Crowdedness Effect on Social Media Usage

While public transit is a major place where people devote their time to smartphones, particularly social media usage, the literature has paid scant attention to how contextual factors in public transit affect the individual usage behavior of social media. Building upon prior literature on stress and social media as a stress reliever, this study examines the impact of physical crowdedness on users’ content consumption and generation behaviors on social media platforms. In collaboration with a major wireless telecom provider in China, we collect detailed information on smartphone usage behavior among 200,000 randomly selected individuals on a major public subway line in Qingdao, China. The results demonstrate a positive causal relationship between crowdedness and content consumption and generation on social media platforms, even after controlling for potential endogeneity of crowdedness

The Perils and Promises of Big Data Research in Information Systems

With the proliferation of “big data” and powerful analytical techniques, information systems (IS) researchers are increasingly engaged in what we label as big data research (BDR)—research based on large digital trace datasets and computationally intensive methods. The number of such research papers has been growing rapidly in the top IS journals during the last decade, with roughly 16% of papers in 2018 employing this approach. In this editorial, we propose five conjectures that articulate the potential consequences of increasing BDR prevalence for the IS field’s research goals and outputs. We discuss ways in which IS researchers may be able to better leverage big data and new analysis techniques to conduct more impactful research. Our intent with these conjectures and analyses is to stimulate debate in the IS community. Indeed, we need a productive discussion about how emerging new research methods, digital trace data, and the development of indigenous theory relate to and can support one another

O riso infeccioso da pestilência: a comédia em tempos de pandemia

Desde Março de 2020, a realidade assumiu, ela própria, contornos de tempos interrompidos. A pandemia da Covid-19 e as vagas de temor por ela causada suspenderam os quotidianos habituais e reconfiguraram formas sociais consolidadas e reconhecidas por todos (Lévy, 2020; Nogueira Pinto, 2020). Embora as pragas e pestes tenham um papel importante nessas redefinições (Defoe, 2001; Manzoni, 2008), este tipo de suspensão (ou alteração) dos modos de vida das comunidades não é causado exclusivamente por motivações sanitárias, como Mackay (2018) bem demonstrou

The effect of friends’ churn on consumer behavior in mobile networks

We study how consumers decide which tariff plan to choose and whether to churn when their friends churn in the mobile industry. We develop a theoretical model showing conditions under which users remain with their carrier and conditions under which they churn when their friends do. We then use a large and rich anonymized longitudinal panel of call detailed records to characterize the consumers’ path to death with unprecedented level of detail. We explore the structure of the network inferred from these data to derive instruments for friends’ churn, which is typically endogenous in network settings. This allows us to econometrically identify the effect of peer influence in our setting. On average, we find that each additional friend that churns increases the monthly churn rate by 0.06 percent. The observed monthly churn rate across our dataset is 2.15 percent. We also find that firms introducing the pre-paid tariff plans that charge the same price to call users inside and outside the carrier help retain consumers that would otherwise churn. In our setting, without this tariff plan the monthly churn rate could have been as high as 8.09 percent. We perform a number of robustness checks, in particular to how we define friends in the social graph, and show that our results remain unchanged. Our paper shows that the traditional definition of customer lifetime value underestimates the value of consumers and, in particular, that of consumers with more friends due to the effect of contagious churn and, therefore, managers should actively take into account the structure of the social network when prioritizing whom to target during retention campaigns.info:eu-repo/semantics/acceptedVersio

The Anesthesia Continuing Education Market and the Value Creation From a Sustainable Unified Platform

Practicing anesthesia professionals in the United States are all governed by various profession-specific regulatory bodies that mandate continuing education (CE) requirements. To date, no unified resource exists for anesthesia professionals (i.e., Anesthesiologists, Certified Registered Nurse Anesthetists, and Anesthesiologist Assistants) to explore the CE offerings available within the marketplace. This study endeavored to convey the potential value of a unified anesthesia CE resource. It investigated how to cultivate a sustainable platform to potentially improve how anesthesia professionals search available CE offerings and to potentially enhance how anesthesia CE providers reach anesthesia professionals. This qualitative study was conducted utilizing an integrative review of the literature. The key concepts identified and investigated were network effect, segmentation, first to market, best of breed, search costs, transaction costs, minimally viable product, evolutionary phases of platforms, platform theory, platform business model, platform economy, and types of platforms. Inductive content analysis was chosen as the organizational method for the resultant qualitative data. The goal of the analysis was to create a conceptual, practical, and strategically applicable platform paradigm for the anesthesia CE marketplace driven by the insights and amalgamations from the literature. The analyzed concepts, dimensions, and indicators of platform successes and their applications potentially facilitate anesthesia professionals’ CE explorations and CE providers’ marketing efforts, as well as contextualize the overarching impacts and implications onto the anesthesia CE industry and beyond. The conclusion portrays these impacts and implications

Reconceptualizing platforms in information systems research through the lens of service-dominant logic

Platforms have gained significant attention in the field of information systems (IS) research. However, the concept of platforms remains fluid and complex due to the diverse phenomena associated with it. Research to date tends to cluster around two predominant perspectives: the economic network perspective and the architectural design perspective. To reconcile the divergent perspectives of platforms and establish a more cohesive foundation for IS theorizing, we undertake an interpretive literature review through the lens of service-dominant (S-D) logic. Drawing on an extensive analysis of the literature, we develop an S-D Platform Framework that provides a deep understanding of the multifaceted nature of platforms as a vital IS capability for value co-creation. This framework sheds light on the fundamental facets of relationality, ambidexterity, and cooperativity, which explain the deep structure of platforms in the realm of IS research. Building on our proposed framework, we put forth an agenda that aims to guide future studies towards a more theoretically compelling trajectory