Digital Business最新文献

The potential of Non-Fungible Tokens (NFTs) is highly anticipated, particularly in the realm of visual arts. However, current applications within fine arts often involve trivial processes, such as creating digital versions of artworks or replicas of masterpieces as NFT images, and selling only these NFTs. To unlock the full potential of NFTs, more innovative models are needed. This paper introduces a novel model that establishes a permanent link between an NFT and a physical craft object. This linkage is utilized to orchestrate the trade workflow, ensuring a sustained connection between real and digital artifacts. A distinguishing feature is that they can be sold together or seperately and later reunited with a buyer. The NFT serves as a multifunctional certificate, tracing, and communication token.

Through a comprehensive analysis, this paper explores diverse scenarios that may arise in the relationship between the physical object and its digital twin. It presents a systematic and formal description of the proposed model and its various cases, marking a pioneering effort in the field. Noteworthy advantages include the ability to detect plagiarism and fraud. By strategically incorporating stakeholder roles, the model preserves the anonymity of art collectors while extracting valuable information about the ownership of physical artworks. The primary objective is to enhance security in the art trade and foster new business opportunities for stakeholders. As a proof-of-concept, the model was implemented in a real-world scenario on a leading NFT marketplace platform.

Many organizations tried to accelerate their digital transformation, but some of them failed, possibly due to poor governance. Previously the influence of ambidextrous IT governance mechanisms on digital transformation and organizational performance were studied. However, there is a need to investigate what are the key ambidextrous IT governance mechanisms that lead to a successful digital transformation and how they are implemented. A case study was conducted at BRI to address the problem. BRI is an incumbent bank that recently won numerous awards. The case study was chosen to investigate one instance in detail to discover contextual understanding that might not have become apparent priorly. The data was collected by semi-structured interviews triangulated with internal documents until data saturation. Subsequently, the collected data underwent thematic analysis. The findings revealed seven key ambidextrous IT governance mechanisms, encompassing board and executive, strategy and architecture, talent and culture, data and information, development and operation, internal and external collaborations, as well as risk and audit. The study also examined how BRI digital transformation dimensions (digital transformation strategy, strategic alignment, digital and IT assets, knowledge and capability, and innovation culture) impacted organizational performance. Lastly, BRI's organizational performance achievements were examined using operational excellence, customer experience, industry presence, and financial return dimensions. This study offers valuable research insights by exploring the key ambidextrous IT governance mechanisms that influence digital transformation and organizational performance. The study also provides the practical implications on how to implement key ambidextrous mechanisms toward a successful digital transformation, including its organizational performance achievements.

Business models of industries and ventures enabled by new and emerging technologies are under-developed and fragmented. The blockchain technology promises to disrupt the business models. However, the scholarly literature in blockchain research is only beginning to emerge, and the majority are focused on the technical aspect leaving aside the business model complexities for blockchain applications. This paper fills this gap and proposes a blockchain business model framework. The research utilizes a sequential exploratory research design (SERD), encompassing two key phases: an initial phase involving a literature review and interviews to delineate blockchain business model building blocks and types, followed by a subsequent survey to identify the most pertinent building blocks and types. The findings helped to formulate the framework, necessary building blocks, and block types specifically for the blockchain applications. Organizations can tailor their business model through various configuration options and mechanisms, considering the arrangement of block types within each block according to their significant score levels. By giving priority to those with scores above the block's average, organizations can evaluate the performance of their models and pinpoint areas for enhancement. The proposed framework can be considered as a reference point for developing business models for blockchain applications.

Global virtual teamwork has emerged as a cornerstone of collaborative teamwork in today's work landscape, characterized by cross-border collaboration using digital technologies. Although research has started to investigate the mechanisms underlying effective teamwork through information and communication technologies (ICTs), an often-neglected dimension is the pivotal social context within which this collaboration unfolds. To address this research gap, this study adopts a social capital lens on teamwork in proposing social capital as a multidimensional mediator between the usage of ICTs and team effectiveness. The research model was tested using questionnaire data from 271 technologically sensitive and aware companies in the DACH region (Germany, Austria, Switzerland). The findings reveal that using multiple ICTs alone does not suffice for effective global virtual teamwork. Therefore, this study highlights the significance of social capital for the effectiveness of global virtual teamwork, which holds significant implications for theory and practice.

The rising prominence of blockchain technology has spurred researchers to delve deeper into its applications through the lens of organizational and management theories. Our thematic analysis of blockchain literature reveals examination across five key areas: economic, strategic, operational, behavioral, and implementation considerations, each viewed through various theoretical perspectives. The multifaceted nature of blockchain phenomena necessitates diverse types of theory and research questions. Thus, the unique characteristics within each area stimulate the formulation of inquiries that address a system of research questions about what, how, why, when, where, what will be, and how to do. Existing literature predominantly emphasizes explanatory and predictive type of theories, notably expanding research topics such as blockchain adoption behavior. However, this singular focus limits the exploration of diverse reasoning approaches suited to blockchain's complexity. Our study illustrates how different types of theory contribute to understanding each of the identified blockchain application areas. Based on our findings, we propose pertinent questions that highlight the need for varied theoretical frameworks and address specific issues within each application area. Furthermore, we recommend appropriate type of theories to address these questions, fostering a more multi-perspective investigation across the breadth of blockchain-related research topics and areas. By embracing diverse theoretical perspectives, we aim to create a more balanced research landscape, facilitating deeper insights into blockchain phenomena.

Given that the interconnections of NFT and DeFi digital assets with other stablecoins still not sufficiently studied, this paper is two-fold. We first examine the dynamic conditional correlation between gold-backed cryptocurrencies and NFTs and DeFi assets during the period 02/11/2021-05/01/2023. We thereafter assess the diversification potential of gold-backed cryptocurrencies against NFTand DeFi. To this end, we use the time-varying Student's copula to investigate the cross-markets linkages among different assets in dynamic fashion. We afterwards compute the optimal hedging ratios and effectiveness index to better explore the effectiveness of portfolio risk management. Our findings clearly show that the degree of dependence between gold-backed cryptocurrencies and NFT and DeFi tokens tends to vary over time. Our results also display that gold-backed cryptocurrencies act as suitable hedging (or diversifying) assets during normal times. Nevertheless, such assets can be considered as robust safe havens during the 2022 bear market for the most of NFT and DeFi assets. More specifically, PAXG and PMGT are found to be the best safe haven instruments for both NFT and DeFi tokens. DGX also serves as safe-haven assets for some NFT and DeFi assets, but with a lower risk-mitigation capacity compared to PAXG and PMGT. In most cases, DGX tends to act as a strong diversifier. Its hedging feature is only recorded for the NFT Protocol (xNFT) and the DeFi token Chainlink (LINK). Our results are of particular interest to investors and portfolio managers who search for safe havens to mitigate the risk of their NFT and DeFi portfolios.

This study investigates how consumers make decisions when using online food delivery services in Thailand, with a particular focus on the price-related factors that influence their choices. The research adopts a mixed-method approach, combining quantitative and qualitative data collection and analysis. Quantitatively, data was gathered from 392 respondents through closed-ended questionnaires, and statistical analysis software was used, employing binary regression to explore the relationship between various independent variables (including gender, age, education, marital status, income, residence, experience, reasons, information sources, frequency, and expenses) and the price war strategy, which serves as the dependent variable. Qualitatively, in-depth interviews were conducted with ten purposively selected participants. The qualitative data were analyzed using content analysis and the NVivo software program. The study's results highlight the significant influence of income and information on the price-related decisions in Thailand's online food delivery market. Moreover, consumers in Thailand prioritize factors like price sensitivity, value perception, convenience, promotions, and cultural food preferences when selecting online food delivery services. This understanding is essential for businesses operating in this market to effectively meet consumer preferences and succeed in the competitive online food delivery industry.

The TikTok platform has become widely popular among younger generations and has influenced various industries and aspects of life. This systematic literature review, using bibliometric methods, aims to examine the evolution of TikTok research from its initial development to its current status. A total of 402 journal articles from 2019 to 2022 were systematically selected from the Web of Science Core Collection. Descriptive statistical analysis identified the most contributing academic institutions, nations, journals, scholars, and influential studies. Using CiteSpace, three visualization types were implemented: cluster views, timezone views, and timeline views. The study results indicate that several TikTok research clusters exist, which summarize important topics such as the platform's overall impact on society, politics, culture, as well as human-centric issues such as social attachment, functional tics, and their implications for public health. According to the co-word analysis, TikTok research revolves around body consciousness, social behavior, consumer behavior, and news media. The comprehensive mapping of TikTok research provides valuable insights into the current state of knowledge and identifies numerous relevant technical and social areas for future investigation. As the first bibliometric review of TikTok research, this study offers an important foundation for future scholarly inquiry in various areas.

The explosive growth of decentralized finance (DeFi) has revolutionized the accessibility and functionality of financial services. To gain valuable insights into this evolving ecosystem, analyzing transaction data using network analysis methodology proves to be highly effective. Network analysis allows us to uncover intricate relationships, patterns, and communities within the DeFi market by examining participant transactions. We model nodes group representing actors or wallet addresses, and edges represent transactions between wallet addresses. This study focuses on three prominent DeFi token-based Ethereum protocols: DAI, UNI, and WBTC. We analyzed 5,802,742 transaction data spanning from January 2022 to January 2023 of those three tokens. Using network topology metrics, we uncover market size, average transaction of each wallet address, market density, and reachability (diameter). We also detect the presence of transaction clusters and grouping quality using the modularity metric. At last, we employ centrality calculation to identify the most important wallet address and their role in the market. We gain insight by comparing those three tokens and reveal valuable insight into patterns and relationships, network dynamics, decentralized nature, and the presence of intermediaries in the token economy market. Our objective is to uncover hidden dynamics and trace asset flows, which can provide valuable information to market participants, regulators, and innovators seeking to optimize the DeFi infrastructure, ensure stability, and mitigate risks. Leveraging the power of network analysis offers the potential to shape the future of DeFi by enhancing efficiency, security, and accessibility, thereby fostering financial inclusion and empowering individuals and businesses globally.

Video-on-demand (VOD) service providers face the challenge of making strategic decisions regarding the allocation of movies to specific pricing plan libraries. This study delves into the cannibalization effect that occurs when a movie transitions from the transactional video-on-demand (TVOD) library to the subscription video-on-demand (SVOD) library. We conducted a comprehensive analysis using user purchasing and viewing data for 1541 movies offered by SK Broadband, South Korea's leading VOD service provider. Our analysis employed propensity score matching and difference-in-difference methodologies. The results of our initial analysis reveal that allocating movies to SVOD leads to an 192% increase in the number of views while simultaneously 52% decreasing TVOD sales. Additionally, we investigate the characteristics of movies that are particularly effective for SVOD servicing. To accomplish this, we scrutinized 236 movies available in SK Broadband's SVOD service using a cost-effectiveness analysis. Our second analysis demonstrates that certain categories of movies, including foreign films, non-G-rated movies, animations, and films not allowed as Download-To-Own (DTO), are more suitable for allocation to SVOD libraries. Furthermore, movies with lower box office viewership numbers exhibit greater success when allocated to SVOD. This study offers insights into the strategic considerations that VOD service providers should embrace, emphasizing a content feature-driven approach to managing pricing plan combinations.