Matti Mäntymäki

University of Turku | UTU · Department of Management and entrepreneurship

Monetizing the users base is a major business challenge in social media, online social networking and online entertainment. Many of these services employ the freemium business model i.e. offer a free access to the service and try to generate revenue from selling premium user accounts with exclusive features or selling virtual items. However, the va...

There is an increasing awareness that social networking site (SNS) use includes a socio-psychologically positive and a negative side. However, research remains largely silent on which side dominates in driving SNS use. To address this gap and to better understand the nature of SNSs we examine the positive and negative drivers of SNS use in parallel...

Employees’ sustained knowledge contributions and their engagement in the platform is needed to materialize the organizational benefits from enterprise social networking (ESN). This paper adopts a knowledge management perspective on ESN. Through a mixed methods approach we examine how employees use ESN and the value of these uses. With a qualitative...

The widespread adoption of the freemium business model together with the introduction of cost-efficient analytics tools have made the use of analytics pervasive in the game industry. While big data and analytics have drawn extensive scholarly attention, the research focusing particularly on game analytics is scant and largely descriptive. Thus, the...

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...

The development and increasing use of artificial intelligence (AI), particularly in high-risk application areas, calls for attention to the governance of AI systems. Organizations and researchers have proposed AI ethics principles, but translating principles into practice-oriented frameworks has proven difficult. This paper develops meta-requiremen...

Fake news has led to a polarized society as evidenced by diametrically opposed perceptions of and reactions to global events such as the Coronavirus Disease 2019 (COVID-19) pandemic and presidential campaigns. Popular press has linked individuals’ political beliefs and cultural values to the extent to which they believe in false content shared on s...

Guest Editorial

Deepfakes—artificial but hyper-realistic video, audio, and images created by algorithms—are one of the latest technological developments in artificial intelligence. Amplified by the speed and scope of social media, they can quickly reach millions of people and result in a wide range of marketplace deceptions. However, extant understandings of deepf...

While there is widespread consensus that artificial intelligence (AI) needs to be governed owing to its rapid diffusion and societal implications, the current scholarly discussion on AI governance is dispersed across numerous disciplines and problem domains. This paper clarifies the situation by discerning two problem areas, metaphorically titled t...

Commercializing responsible artificial intelligence (RAI) involves translating ethical principles for developing, deploying, and using AI into business models. However , prior studies have reported tensions between commercial interests (e.g., development speed or accuracy) and societal interests (e.g., privacy or human rights) that can undermine RA...

Artificial intelligence (AI), which refers to both a research field and a set of technologies, is rapidly growing and has already spread to application areas ranging from policing to healthcare and transport. The increasing AI capabilities bring novel risks and potential harms to individuals and societies, which auditing of AI seeks to address. How...

Artificial Intelligence and Analytics (AI&A) are used in various application areas ranging from online entertainment to healthcare. The goal of this Special Issue is to focus on how AI&A are used in practice to assist organisations to create economic value, support decision making, transforming them, and enhance employees’ skills such as communicat...

During the past two decades, Design Science Research (DSR) has become a central research paradigm in information systems (IS) science. It provides a possibility for researchers to contribute to their field's existing knowledge base by abstracting knowledge from constructing and using design artifacts. DSR scholars have classified their research par...

Recent research has highlighted multiple incompatibilities between blockchain technology and the General Data Protection Regulation (GDPR) regarding data controller and data deletion. Such incompatibilities impede the adoption of blockchain technology on a larger scale. This paper aims to resolve these incompatibilities, exploring the issues that n...

This study explores the usage and the respective affordances of sleep-tracking with a smart ring and the associated app. Sleep-tracking is a growing area of self-tracking. While the use and influences of self-tracking have drawn considerable scholarly attention, the specific affordances of sleep-tracking are not well understood. Hence, this study a...

Guest Editorial: International Journal of Information Management

Recent research has highlighted multiple incompatibilities between blockchain technology and the General Data Protection Regulation (GDPR) regarding data controller and data deletion. Such incompatibilities impede the adoption of blockchain technology on a larger scale. This paper aims to resolve these incompatibilities, exploring the issues that n...

The organizational use of artificial intelligence (AI) has rapidly spread across various sectors. Alongside the awareness of the benefits brought by AI, there is a growing consensus on the necessity of tackling the risks and potential harms, such as bias and discrimination, brought about by advanced AI technologies. A multitude of AI ethics princip...

In this study we explore the incorporation of artificial intelligence (AI) governance to system development life cycle (SDLC) models. We conducted expert interviews among AI and SDLC professionals and analyzed the interview data using qualitative coding and clustering to extract AI governance concepts. Subsequently, we mapped these concepts onto th...

***Purpose***: Inscrutable machine learning (ML) models are part of increasingly many information systems. Understanding how these models behave, and what their output is based on, is a challenge for developers let alone non-technical end users. ***Design/methodology/approach***: The authors investigate how AI systems and their decisions ought to...

Governing artificial intelligence (AI) requires cooperation, although the collaboration’s form remains unclear. Technological frames provide a theoretical perspective for understanding how actors interpret a technology and act upon its development, use, and governance. However, we know little about how actors shape technological frames. In this pap...

We study the European Union’s (EU) recent responsible AI strategies and stakeholder responses to them. Responsible AI refers to AI that is designed and used in accordance with human values, such as transparency and accountability (Dignum, 2020). In recent years, the EU has positioned itself as a central player in striving for responsible AI (e.g.,...

In this study, we explore prominent contemporary technology trajectories in the software industry and how they are expected to influence the work in the software industry. Consequently, we build on cultural lag theory to analyze how technological changes affect work in software development. We present the results from a series of expert interviews...

This paper examines the challenges related to integrating machine learning (ML) development with software development lifecycle (SDLC) models. Data-intensive development and use of ML are gaining popularity in information systems development (ISD). To date, there is little empirical research that explores the challenges that ISD practitioners encou...

The UN COP26 2021 conference on climate change offers the chance for world leaders to take action and make urgent and meaningful commitments to reducing emissions and limit global temperatures to 1.5 • C above pre-industrial levels by 2050. Whilst the political aspects and subsequent ramifications of these fundamental and critical decisions cannot...

Prior research has often portrayed information technology (IT) as a stressor. In this paper, we propose and demonstrate that IT can also be an effective means of coping with life stressors, including those induced by pandemics such as COVID-19. We thus deviate from the common IT-as-a-stressor perspective and adopt an IT-as-a-coping-mechanism viewpo...

Artificial intelligence (AI) governance and auditing promise to bridge the gap between AI ethics principles and the responsible use of AI systems, but they require assessment mechanisms and metrics. Effective AI governance is not only about legal compliance; organizations can strive to go beyond legal requirements by proactively considering the ris...

Artificial intelligence (AI) governance is required to reap the benefits and manage the risks brought by AI systems. This means that ethical principles, such as fairness, need to be translated into practicable AI governance processes. A concise AI governance definition would allow researchers and practitioners to identify the constituent parts of t...

This study explores how using social networking sites (SNSs) to cope with stressors induced by a global pandemic (in this case, COVID-19) can have negative consequences. The pandemic has imposed particular stressors on individuals, such as the threats of contracting the virus and of unemployment. Owing to the lockdowns and confinements implemented...

The penetration of smartphones and the subsequent social media use in modern workplaces have drawn scholars’ attention towards studying their influence on employees. This is a nascent yet critical field of study because initial inquiries have confirmed the significant adverse implications of smartphone and social media use for employee well-being a...

This study explores how organizations translate principles of ethical artificial intelligence (AI) into practice. To date, the research on AI ethics has been mostly conceptual, with a significant emphasis on defining the principles of ethical AI. Thus, there is momentum for a shift from principle-based ethics toward an increased focus on the implem...

Consumers are increasingly using food delivery apps (FDAs) to facilitate convenient and quick food delivery. Yet, the existing research offers a limited understanding of consumers’ behavioral responses to the visibility and values derived from FDAs. Our study utilized the theory of consumption values (TCV) to examine associations between FDA visibi...

The intense proliferation of social media platforms into every facet of human lives has engaged researchers' attention towards understanding their adverse influences, referred to as the dark side of social media (DoSM) in the evolving literature. A relatively unexplored context in this regard is employees' personal use of social media during work h...

Research on the dark side of social media usage has explored the fear of missing out (FoMO), social media fatigue (fatigue), social media stalking (stalking), and online social comparison (social comparison) independently. Accordingly, the complex interrelationships among these phenomena have remained understudied, creating a chasm that hinders a c...

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 quan...

This volume constitutes the proceedings of the 20th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2021, held in Galway, Ireland, in September 2021.* The total of 57 full and 8 short papers presented in these volumes were carefully reviewed and selected from 141 submissions. The papers are organized in the following topical s...

Governing artificial intelligence (AI) requires multi-actor cooperation, but what form could this cooperation take? In recent years, the European Union (EU) has made significant efforts to become a key player in establishing responsible AI. In its strategy documents on AI, the EU has formulated expectations and visions concerning ecosystems for res...

Artificial Intelligence (AI) has received significant attention in recent years, with claims of unlimited potential across sectors and industries. Despite the media hype about AI, there is limited understanding of how governments can utilize AI for the delivery of value to citizens and what are the barriers and trade-offs that need to be addressed...

In this work we explore digital transformation in software development. A set of interviews were conducted among industry experts to identify and elucidate the drivers and trajectories of digital transformation within the software industry. Using the Gioia method for qualitative analysis and synthesis, two major trajectories were found: (1) automat...

In an older version of this paper, only one of Devinder Thapa’s two affiliations was listed. This has been corrected.

Artificial Intelligence (AI) has been suggested to have transformative potential for public sector organizations through enabling increased productivity and novel ways to deliver public services. In order to materialize the transformative potential of AI, public sector organizations need to successfully assimilate AI in their operational activities...

Artificial Intelligence (AI) has been claimed to offer transformational power across industries and sectors. To date, research has largely focused on the technical characteristics of AI and its influence on organisational capabilities. Despite the hype surrounding AI, there is a scarcity of rigorous research that examines the organisational and beh...

Blockchain has gained substantial recognition for its ability to induce transformation and innovation in existing business models and frameworks. Consequently, the application of this technology to the management domain and its processes has attracted increasing interest from academia and industry. Although research addressing the use of blockchain...

Purpose The association between social media and jealousy is an aspect of the dark side of social media that has garnered significant attention in the past decade. However, the understanding of this association is fragmented and needs to be assimilated to provide scholars with an overview of the current boundaries of knowledge in this area. This sy...

Purpose Research examining the “fear of missing out” (FoMO) is increasingly prominent, with a growing number of studies exploring this phenomenon. Despite the increased academic interest, no attempts have been made to synthesize extant knowledge on FoMO. There is limited holistic understanding of its conceptualization and operationalization. To add...

In recent decades, rising consumer interest in visiting relatively less commercialized natural destinations has facilitated the growth of ecotourism. Yet the research on ecotourism is fragmented, presenting gaps in the current understanding of this topic. This study performs a bibliometric analysis to assimilate the present knowledge from a total o...

This study presents a systematic literature review (SLR) of research on blockchain applications in the healthcare domain. The review incorporated 42 articles presenting state-of-the-art knowledge on the current implications and gaps pertaining to the use of blockchain technology for improving healthcare processes. The SLR findings indicate that blo...

BACKGROUND Self-tracking technologies are widely used in people’s daily lives and healthcare. Academic research on self-tracking and 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 quantified se...

This study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 studies, and presents them in a comprehensive framework. The findings from this study suggest that applications of BDA in healthcare can be observed from five persp...

Online travel agencies (OTAs) are expanding their services to many segments of the travel and tourism industry. While they are beneficial to travelers, OTAs also face a great deal of consumer resistance. However, prior literature has largely focused on travelers’ adoption intentions toward OTAs, scarcely exploring the causes of such resistance. Add...

Online travel agencies (OTAs) are struggling to remain financially sustainable due to intense competition. To overcome this challenge, OTAs need to better engage their customers by offering them superior value propositions. This calls for an in-depth understanding of the consumption values pertinent to the OTA context. To address this gap, the curr...

Emergent research suggests that “fear of missing out” (FoMO)-driven nocturnal use of social media may result in sleep disturbances and adversely influence quality of sleep. Previous research in this area primarily focused on adolescents. Therefore, knowledge of these occurrences in young adults is limited. This study addresses this knowledge gap by...

The purpose of this study is to explore whether the diffusion of cryptocurrencies represents a disruptive change and what is the potential magnitude of this change. To this end, we take disruptive innovation theory as our point of departure to scrutinize cryptocurrencies as an instance of socio-technical change. We employ Causal Layered Analysis to...

Revealing development paths of big data analytics in enterprise information systems is a topic of great interest to the experts in the IT industry. Our study published in Enterprise Information Systems (ABDC - A category, SCI Impact factor – 2.122) provides a bird’s eye view on the topic. 💎 The key highlights of the study are: ✔️ Applications of...

I3E 2019 IFIP WG 6.11 International Workshops, Trondheim, Norway, September 18–20, 2019, Revised Selected Papers This book constitutes papers from the workshops held at the 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, which took place in Trondheim, Norway, in September 2019. The 11 full papers and 4 short papers...

This two-volume set constitutes the proceedings of the 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, held in Skukuza, South Africa, in April 2020.* The total of 80 full and 7 short papers presented in these volumes were carefully reviewed and selected from 191 submissions. The papers are organized in the following...

This two-volume set constitutes the proceedings of the 19th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2020, held in Skukuza, South Africa, in April 2020.* The total of 80 full and 7 short papers presented in these volumes were carefully reviewed and selected from 191 submissions. The papers are organized in the following...

The rise of digital platforms has enabled new forms of work, but the nature of these new forms, particularly the role of the digital platform in shaping work relations, is not well understood. This study explores how the presence of the digital platform manifests itself in workers’ perceptions of their work in the context of ride-hailing. We draw o...

Artificial intelligence (AI) is emerging to become a highly potential enabling technology for smart buildings. However, the development of AI applications quite often follows a traditional, closed, and product-oriented approach. This study aims to introduce the platform model and ecosystem thinking to the development of AI-enabled smart buildings....

This paper investigates the focal actors in a blockchain network and their heterogeneity in splits. Disagreements in blockchain communities often lead to splits in both the blockchain and the community. We use three key elements of the actor-network theory — punctualization, translation, and actor heterogeneity—and employ case study methodology to...

In this paper, we highlight how the value of data accumulates through the stages in a value chain. We introduce a Big data value chain where the value adding stages are decoupled from the technological requirements of data processing. We argue that through viewing the stages of value accumulation, it is possible to identify such challenges in deali...

Regret is an undesirable yet very common outcome of social networking site (SNS) use. To date, the literature has examined SNS regret at an aggregate level. The purpose of this paper is to decompose the dimensions and constituents of SNS regret into networking regret and brand page regret, to better understand it, and examine how the two facets of...

18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, Trondheim, Norway, September 18–20, 2019, Proceedings This book constitutes the proceedings of the 18th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2019, held in Trondheim, Norway, in September 2019. The total of 61 full and 4 short papers pre...

This study investigates how user innovation can be used as an engagement mechanism for crowdsourcing-based marketing initiatives. By building on an in-depth case study of a hamburger chain’s crowdsourcing initiative, we analyze key activities in customers’ value-creating processes, the crowdsourcer’s value-creating processes, and innovation encount...

The term ecosystem has been widely adopted outside its original domain in biology, for example in business and engineering studies. Ecosystem health is a derivative metaphor used to describe the success of the ecosystem. In this paper, we describe the key shortcomings of ecosystem health research. We put forward two key postulates of ecosystem heal...

This paper investigates the dual effects (i.e. benefits and dangers) of a social networking site (SNS). Our dependent variables are subjective vitality and addiction. We employ self-determination theory (SDT), specifically the concepts of autonomous and controlled motivation and hypothesize that social enhancement and enjoyment represent autonomous...

The concept of ecosystem emanates from ecology and subsequently has been broadly used in business studies to describe and investigate complex interrelationships between companies and other organizations. However, it is widely known that borrowing constructs from natural sciences to social sciences, or vice versa, can be problematic. For example, th...

Purpose Self-promotion on social networking sites (SNSs) is a controversial issue as it has been attributed to various positive and negative consequences. To better understand the reasons for the mixed consequences and the nature of self-promotion on SNSs, the purpose of this paper is to theorize and empirically investigate the duality of SNS self...

Business model literature has evolved around descriptions of legal entities, which is not sufficient to describe the business ecosystem as an experiential and living entity. This paper proposes a new business model, the contextualized business model (CBM) for an experiential, empathic and digital ecosystem empowering artificial intelligence.

This book constitutes the refereed conference proceedings of the 17th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 201, held in Kuwait City, Kuwait, in October/November 2018. The 65 revised full papers presented were carefully reviewed and selected from 99 submissions. Topics of interest include, amongst others, the followin...

Joining or leaving a platform ecosystem is a key strategic decision for software developers. ‘Multi-homing’ is strategy in which a company distributes its products via more than one platform ecosystem in parallel. ‘Single-homing’ is an opposite strategy in which the software is being distributed exclusively via a single platform ecosystem. On one h...

The original version of this paper unfortunately incorrectly captured the affiliation of Dr. Matti Mäntymäki and is now corrected on this article.