A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

  Subjects -> ELECTRONICS (Total: 207 journals)
The end of the list has been reached or no journals were found for your choice.
Similar Journals
Journal Cover
Electronic Markets
Journal Prestige (SJR): 0.834
Citation Impact (citeScore): 3
Number of Followers: 6  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1019-6781 - ISSN (Online) 1422-8890
Published by Springer-Verlag Homepage  [2468 journals]
  • Manipulation by design

    • Free pre-print version: Loading...

      Abstract: Abstract Human behaviour is affected by architecture, including how online user interfaces are designed. The purpose of this article is to provide insights into the regulation of behaviour modification by the design of choice architecture in light of the European Union data protection law (GDPR) and marketing law (UCPD). It has become popular to use the term ‘dark pattern’ (also ‘deceptive practices’) to describe such practices in online environments. The term provides a framework for identifying and discussing ‘problematic’ design practices, but the definitions and descriptions are not sufficient in themselves to draw the fine line between legitimate (lawful) persuasion and unlawful manipulation, which requires an inquiry into agency, self-determination, regulation and legal interpretation. The main contribution of this article is to place manipulative design, including ‘dark patterns’, within the framework of persuasion (marketing), technology (persuasive technology) and law (privacy and marketing).
      PubDate: 2024-02-20
       
  • Unlocking the value from car data: A taxonomy and archetypes of connected
           car business models

    • Free pre-print version: Loading...

      Abstract: Abstract The automotive industry is relocating from viewing cars as standalone products to an all-encompassing ecosystem built around connected cars enabling data-driven business models. The vastly increasing amount of data collected by connected cars grants a unique driving experience for its users while providing companies operating in the automotive industry access to valuable information and, ultimately, cost and revenue benefits. In this article, we develop an empirically and theoretically grounded taxonomy of data-driven business models in the connected car domain to explore the impact of car connectivity and data availability on business models. Building on this, we conduct a cluster analysis revealing seven business model archetypes for the connected car domain: data platforms, location-based services, fleet management, diagnostics and maintenance, driving analytics, cyber-physical protection, and connected infotainment. Our findings advance the theoretical knowledge of data-driven business models, provide researchers with a systematic analysis of connected car-enabled business models, and enable decision-makers to identify strategic opportunities for leveraging connected car technology to enrich their business portfolios.
      PubDate: 2024-02-13
       
  • An Indexed Approach for Expectation-Confirmation Theory: A Trust-based
           model

    • Free pre-print version: Loading...

      Abstract: The present study utilised the Expectation-Confirmation Theory (ECT) as a theoretical framework to examine the temporal development of customer trust, satisfaction, and repurchase intent. In subsequent phases of the ECT, the significance of expectations in influencing customers’ attitudes towards confirmed trust and satisfaction was emphasised. The Trust-based Expectation-Confirmation model was therefore proposed to study trust at the appropriate level of abstraction to capture and analyse the relationships between Expected Trust, Perceived Trust, and the Confirmation of Expected Trust. The evaluation of the proposed ECT Trust-based model was conducted through a web-based survey with 559 participants, aiming to examine the direct and indirect approaches of measuring the Confirmation phase. Both approaches were found to be problematic in terms of the gap between the Perceived and Expected construct measured, which cannot be adjusted by the middle point on the Likert scale when using the direct approach either. This research article proposes the Indexed Approach as a new relevant assessment approach to transform data gathered from participants, which were measured throughout the Expectation and Perceived Performance stages, into a common format that could be used to determine each participant’s Confirmation. In order to validate the Indexed Approach, PLS path modelling evaluation and comparison for each approach were conducted; the results indicated that the Indexed Approach was the superior alternative to the direct and indirect approaches for transformation confirmation data to be used in the ECT model.
      PubDate: 2024-02-06
       
  • Correction: Towards implementation of warrant-based content
           self-moderation

    • Free pre-print version: Loading...

      PubDate: 2024-01-30
       
  • Enhancing trust in global supply chains: Conceptualizing Digital Product
           Passports for a low-carbon hydrogen market

    • Free pre-print version: Loading...

      Abstract: Abstract Industries and energy markets around the world are facing mounting pressure to decarbonize, prompting them to transform processes and supply chains towards sustainability. However, a lack of credible sustainability data proves to be a considerable barrier for emerging markets for sustainable products: Against the background of complex and globalized supply chains, it is necessary to verify the sustainability claim of products in order to demand price premiums for sustainable products in the long run. To enable this, it is necessary that stakeholders in globalized supply chains are willing to share relevant data along the entire supply chain for increasing traceability and reducing information asymmetries. Using the example of international hydrogen supply chains, we study how data can be shared between different stakeholders using Digital Product Passports while addressing stakeholders’ concerns about data privacy and disclosure. In our work, we develop design principles that provide insight into how a Digital Product Passport should be designed to verify the hydrogen’s carbon footprint in a reliable way and to ensure the willingness of stakeholders to share their data. We follow a multi-step approach with a structured literature review followed by expert interviews and qualitative content analysis for a synthesis of design principles. Our research illustrates that a Digital Product Passport must collect data comprehensively and automatically, process it in a decentralized and tamper-proof manner, protect privacy and sovereignty of stakeholders, and ensure interoperability.
      PubDate: 2024-01-25
       
  • The effects of similarity in supplier referral programs on peer-to-peer
           platforms: From the coopetition perspective

    • Free pre-print version: Loading...

      Abstract: Abstract Peer-to-peer platforms, such as Uber and Airbnb, are increasingly leveraging referral programs to attract new suppliers in addition to new customers (aka supplier-get-supplier campaigns and customer-get-customer campaigns). In contrast to customer referral programs where referrers and receivers mainly cooperate, supplier referral programs involve referrers and receivers sharing knowledge and competing for customers simultaneously, thereby obscuring the assessment of the receiver (new supplier) sales performance. Drawing from the literature on coopetition, this study investigates how the similarities between referrers and receivers in supplier referral programs impact the performance of receivers through coopetition. We based our investigation on a flash peer-to-peer social commerce platform in China, in which social media were leveraged to foster a dynamic and tension-filled coopetiton environment for individual suppliers. Analyzing a 2-month referral dataset from the platform through regression analyses, we find that while demographic similarity between referrers and receivers enhances the receivers’ performance, geographic similarity attenuates their performance. Moreover, the positive effect of demographic similarity on receivers’ performance decreases as the referrers’ experience increases. With an additional analysis, we have also uncovered the distinct effects of the aforementioned similarities on the performance of referrers. Collectively, these findings have important implications for both research and practice on extending referral programs from the demand side to the supply side.
      PubDate: 2024-01-24
       
  • Consumers’ ambiguous perceptions of advertising disclosures in
           influencer marketing: Disentangling the effects on current and future
           social media engagement

    • Free pre-print version: Loading...

      Abstract: Abstract Based on a large real-world dataset comprising Instagram posts of popular influencers, this study empirically analyzes the impact of disclosed and undisclosed advertising on consumers’ engagement with (a) the advertisement and (b) future non-advertising posts of the same author. As extant research reports inconsistent effects of ad disclosures based on inferred motives, persuasion knowledge, and source credibility, this study develops a conceptual framework incorporating these theoretical concepts. To identify undisclosed advertisements, we use data from regions with proper disclosure culture to train a model to predict if posts are advertising. Based on the predictions for > 65,000 posts of 239 macro-influencers, we find that advertising posts gather less engagement than non-advertising posts. Regarding immediate ad engagement, we find that disclosed ads gather less engagement than undisclosed ads. Contrastingly, when analyzing future engagement, we identify positive persistent effects of disclosed advertising and negative persistent effects of undisclosed advertising on consumers’ engagement with future posts of the same author. We conclude that source credibility explains the effect of disclosures on future posts, while the Persuasion Knowledge Model can explain the effect of disclosures on the current advertisement. Thus, consumers’ coping strategies triggered by activated persuasion knowledge are mostly limited to the advertisement. Our findings can explain the opposing results of extant research. From a managerial perspective, we find that by not disclosing advertising posts, influencers and marketers increase an ad’s engagement levels at the expense of persistently lowered attitudes. Conversely, in the long run, they may benefit from transparent disclosures.
      PubDate: 2024-01-23
       
  • Evolution of direct network effects: A perspective of market thickness of
           an online freight platform

    • Free pre-print version: Loading...

      Abstract: Abstract The dynamics of network effects present challenges for platforms’ management strategies across development stages, which have been overlooked in existing literature. Using data from a Chinese prominent freight exchange platform, this paper explores the evolution of direct network effects and offers an explanation for the inconsistent findings in existing literature. We find that direct network effects are positive initially but gradually lose significance and eventually turn negative as the market thickens. We consistently observe asymmetry in direct network effects, initially favoring carriers but shifting to shippers over time. Additionally, shippers experience earlier changes in direct network effects compared to carriers. We attribute the changes over time to the diverse perceptions of platform value resulting from an increased number of peers, as different forces dominate under different market thickness conditions. Our study contributes to the debate on direct network effects, providing insights into their variability based on market thickness.
      PubDate: 2024-01-22
       
  • Establishing altruistic ethics to use technology for Social Welfare—How
           Japan manages Web3 and self-sovereign identity in local communities

    • Free pre-print version: Loading...

      Abstract: Abstract Technologies of self-sovereign identity (SSI) and Web3 tools that strongly protect individual autonomy, combined with the ethics of Asian altruism, can effectively guide the governance of the emerging cyber civilization. In contrast, governance in Western industrial civilization stresses the pursuit of individual self-interest and struggles to balance the benefits of big tech with the protection of individual dignity and the preservation of the common good. We demonstrate, with reference to a local community in Japan, that SSI is successful in encouraging communal collaboration and well-being while providing individuals with greater control over their personal data. We also show that Web3 tools provide incentives for altruistic behaviors while safeguarding SSI. Integration of SSI and social protection demonstrates the potential for building an information society grounded in altruistic values, honoring individual dignity, and recognizing the government’s role in protecting social welfare. Ultimately, this research unveils how altruistic values can be fostered through SSI and Web3.
      PubDate: 2024-01-18
       
  • A fuzzy-set qualitative comparative analysis (fsQCA) study on the
           formation mechanism of Internet platform companies’ social
           responsibility risks

    • Free pre-print version: Loading...

      Abstract: Abstract In the realm of the digital economy, platform-based Internet companies leverage characteristics such as “cross-side effects” and “emerging technologies” to gain a competitive edge. However, simultaneously, they encounter challenges linked to inadequate risk management and insufficient focus on social responsibility. However, the discussions surrounding these matters have primarily been confined to case studies, lacking a comprehensive understanding of the underlying mechanisms that give rise to social responsibility risks. This research addresses this gap by establishing a database of corporate social responsibility risks for Internet platform companies and employs a qualitative comparative analysis method to dissect these social responsibility risks. The study unveils that Internet platform companies can navigate low social responsibility risks through three distinct pathways: the “resource-experience combining type,” the “long-term shareholder-orientation type,” and the “novel innovative advantage type.” It delves into the questions of what Internet platform companies should do and how they should approach corporate social responsibility in varying contexts. Furthermore, it identifies novel strategies within the domain of platform organizations and the platform economy, thus expanding the conceptual framework of corporate social responsibility driving mechanisms. This research offers valuable guidance for government policy development directed at fostering the sustainable growth of Internet platforms. Additionally, it provides platform companies with insights into optimizing their approaches to manage social responsibility risks in alignment with their unique characteristics. Ultimately, it serves as a robust theoretical guide and practical illustration for addressing these pivotal issues.
      PubDate: 2024-01-10
       
  • Preface to the special issue on “Enterprise and organizational
           applications of distributed ledger technologies”

    • Free pre-print version: Loading...

      PubDate: 2024-01-08
       
  • The future of fintech — Towards ubiquitous financial services

    • Free pre-print version: Loading...

      PubDate: 2024-01-04
       
  • Towards implementation of warrant-based content self-moderation

    • Free pre-print version: Loading...

      Abstract: Abstract This paper recaps the issue of online mis- and disinformation as a societal problem, reviews why government roles in defining mis- and disinformation are constitutionally suspect under First Amendment jurisprudence, and builds on a content-neutral theory of disincentivizing the production of mis- and disinformation first proposed by Marshall Van Alstyne. The purpose of this paper is to develop some key implementation details that would be necessary to resolve if the theory is to be adopted operationally.
      PubDate: 2023-12-27
       
  • The coordination mechanism of value co-creation between developers and
           users in digital innovation ecosystems

    • Free pre-print version: Loading...

      Abstract: Abstract The interactions between developers and users are a vital driver of complementary innovation and further facilitate the emergence and evolution of digital innovation ecosystems. However, these interactions are somewhat overlooked in research on digital innovation ecosystems. To increase the understanding of their interrelationship, firstly, we explain the foundation of value co-creation between developers and users by introducing service-dominant logic (S-D logic). Then, we analyze the coordination mechanism of their value co-creation using an evolutionary game approach. There are three key findings obtained: First, the underlying logic behind their value co-creation is mutual benefit, and the coordination mechanism elaborates how they select participation strategies by carefully weighing benefits against costs. Second, their engagement behavior is influenced by each other, and their initial choices also determine the evolution outcome of the behavior under certain circumstance. Third, the involvement of developers and users is impacted by similar benefits and costs, such as additional benefits of adopting the active strategy unilaterally, free-riding benefits, additional costs of positive participation, and benefits of ecosystem synergy. However, factors related to platform owners, the loss caused by punishment due to passive participation and the benefits from being featured due to active participation, only affect developers’ strategy choices directly. Finally, we discuss managerial implications of our findings.
      PubDate: 2023-12-14
       
  • Generative artificial intelligence

    • Free pre-print version: Loading...

      Abstract: Abstract Recent developments in the field of artificial intelligence (AI) have enabled new paradigms of machine processing, shifting from data-driven, discriminative AI tasks toward sophisticated, creative tasks through generative AI. Leveraging deep generative models, generative AI is capable of producing novel and realistic content across a broad spectrum (e.g., texts, images, or programming code) for various domains based on basic user prompts. In this article, we offer a comprehensive overview of the fundamentals of generative AI with its underpinning concepts and prospects. We provide a conceptual introduction to relevant terms and techniques, outline the inherent properties that constitute generative AI, and elaborate on the potentials and challenges. We underline the necessity for researchers and practitioners to comprehend the distinctive characteristics of generative artificial intelligence in order to harness its potential while mitigating its risks and to contribute to a principal understanding.
      PubDate: 2023-12-06
       
  • Who earns trust in online environments' A meta-analysis of trust in
           technology and trust in provider for technology acceptance

    • Free pre-print version: Loading...

      Abstract: Abstract Trust has been identified as inevitable for technology acceptance and might further gain importance as technologies become increasingly complex. However, previous research on trust in online environments lacks a systematic configuration of trust entities in research models; some studies include either trust in technology or trust in provider, others both. In combination with inconsistent results, this leads to a lack of in-depth knowledge about the trust entities’ relationship to each other, to their antecedents, and intention to use. Therefore, this study aims at clarifying these relationships and examining how they vary for different configurations. We performed pairwise meta-analyses to generate summary effects for the individual trust entities and examined four different trust configurations by applying meta-analytic structural equation modeling (MASEM). Our findings advance technology acceptance and trust research and highlight the necessity to carefully configure trust. More specifically, the results from pairwise meta-analysis support a strong relationship between the trust entities that is, however, countered by the effects of antecedents in MASEM. Institution-based trust and reputation are found stronger predictors for trust in provider and familiarity a stronger determinant of trust in technology. Furthermore, the trust entities show comparable paths to intention to use when either trust entity is included in the research model, but when both are integrated, trust in technology is more important than trust in provider.
      PubDate: 2023-12-05
       
  • Creating value beyond commercial outcomes: The ESG practices of online
           marketplaces for sustainable development

    • Free pre-print version: Loading...

      Abstract: Abstract The popularity of online marketplaces continues to grow worldwide, and with it comes increased attention to the non-economic value they provide. This study aims to analyze the environmental, social, and governance (ESG) reports and news of 13 online marketplace operators and examine their engagement in ESG practices, considering their characteristics and the social environment. By comparing their practices with the generic ESG framework, the study identifies unique factors and approaches specific to ESG practices in online marketplaces, such as constructing industry ecology, contributing to national current affairs and policies, protecting intellectual property, and focusing on information and network security. The study also finds that market transactions, digital innovation, and participant ecology are three key mechanisms that explain the specificity of ESG practices in online marketplaces. The findings of this study offer an ESG framework that can be applied to online marketplaces. It highlights the importance of considering online marketplaces’ social environment and individual characteristics in developing ESG practices. This study provides insights for online marketplace operators to improve their ESG practices and contributes to a growing body of literature on non-economic value creation in online marketplaces.
      PubDate: 2023-12-05
       
  • How to increase consumers’ continued use intention of artificial
           intelligence voice assistants' The role of anthropomorphic features

    • Free pre-print version: Loading...

      Abstract: Abstract Artificial intelligence (AI) voice assistants possess significant market potential and offer diverse services through voice interaction. However, the influence of anthropomorphic features on consumers’ mind perception and continued use intention, particularly across various age groups, remains underexplored. To address this research gap, we employ mind perception theory, the stimulus–organism-response model, and cognitive load theory to conduct a research model. Using a sample of 303 survey responses, we evaluate the research model and hypotheses through partial least squares analysis. Findings reveal that these features positively affect alleviating loneliness and enhancing perceived usefulness. Additionally, the alleviation of loneliness and perceived usefulness contribute to consumers’ continued use intention and mediate the relationship between anthropomorphic features and continued use intention. Furthermore, the effect of anthropomorphic features on mind perception varies across age groups. This research enhances understanding of the influence of anthropomorphic features on consumers’ mind perception and continued use intention of AI voice assistants, providing valuable insights for product developers and marketers to enhance the consumer experience.
      PubDate: 2023-11-27
      DOI: 10.1007/s12525-023-00681-0
       
  • Assistant platforms

    • Free pre-print version: Loading...

      Abstract: Abstract Many assistant systems have evolved toward assistant platforms. These platforms combine a range of resources from various actors via a declarative and generative interface. Among the examples are voice-oriented assistant platforms like Alexa and Siri, as well as text-oriented assistant platforms like ChatGPT and Bard. They have emerged as valuable tools for handling tasks without requiring deeper domain expertise and have received large attention with the present advances in generative artificial intelligence. In view of  their growing popularity, this Fundamental outlines the key characteristics and capabilities that define assistant platforms. The former comprise a multi-platform architecture, a declarative interface, and a multi-platform ecosystem, while the latter include capabilities for composition, integration, prediction, and generativity. Based on this framework, a research agenda is proposed along the capabilities and affordances for assistant platforms.
      PubDate: 2023-11-14
      DOI: 10.1007/s12525-023-00671-2
       
  • Antecedents and outcomes of virtual presence in online shopping: A
           perspective of SOR (Stimulus-Organism-Response) paradigm

    • Free pre-print version: Loading...

      Abstract: Abstract By integrating theories of media richness, presence, perceive risk, flow, and social presence into the S-O-R paradigm, this study develops a theoretical model that extends previous research to explain how the virtual presence generated by a web store affects consumers’ internal psychological states and final purchase behavior. The experimental results show that (1) the richness of website features (multiplicity of cues and immediacy of feedback) positively influences consumers’ perceptions of website telepresence (cognitive experience) and social presence (affective experience). (2) Telepresence can significantly increase consumer purchase intention by reducing perceived website risk and increasing perceived product diagnosis. (3) Social presence can significantly increase consumers’ purchase intention by increasing perceived product diagnostics and perceived social approval. (4) Shopping task complexity positively moderates the relationship between cue multiplicity and perceived virtual presence. The findings provide insights for marketing practitioners by helping to understand the effects of virtual presence on consumer decision-making.
      PubDate: 2023-11-09
      DOI: 10.1007/s12525-023-00674-z
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 3.236.223.106
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-
JournalTOCs
 
 

 A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

  Subjects -> ELECTRONICS (Total: 207 journals)
The end of the list has been reached or no journals were found for your choice.
Similar Journals
Similar Journals
HOME > Browse the 73 Subjects covered by JournalTOCs  
SubjectTotal Journals
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 3.236.223.106
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-