Digital Business最新文献

Despite strong evidence of the critical role of mobile money technology in deepening financial inclusion, the impact of taxing mobile money transactions on digital and financial inclusion remains an unexplored area of research. By drawing on the Unified Theory of Acceptance and Use of Technology model, this research presents a rich insight into the determinants of mobile money adoption and the moderating effect of taxation (e-levy) on mobile money adoption. The purposive data sampling technique was employed to collect data from 287 mobile money users. The structural equation modeling – partial least square method was applied to test the hypotheses of this study. The findings show that performance expectancy, effort expectancy, social influence, and facilitating conditions significantly influence behavioral intention. Consequently, behavioral intention shows a significant relationship with the actual use of mobile money. Furthermore, regarding the moderating effect of taxation, the findings show that taxation negatively and significantly influences the actual use of mobile money. Finally, the implications of the results to tax policymakers (government) and mobile money operators have been discussed.

This study aims to examine the factors that influence M-banking adoption from developing countries' perspective (case of Tunisia) by extending Technology Acceptance Model (TAM). To achieve this, a structural equation modelling with Partial Least Square Structural Equation Modeling (PLS-SEM) has been used to analyse the data of 202 responses. The evidence found that perceived ease of use and perceived usefulness determine the intention to adopt M-banking while perceived security, satisfaction and trust were found to be statistically insignificant in terms of their relationship with M-banking adoption intention. In this study, the empirical section examines the mediating effect of trust and satisfaction. The findings reveal that trust partially mediates the relationships between perceived security and satisfaction. Based on the research findings, managerial and theoretical implications are discussed.

Guided by the uses and gratification theory (UGT), this research aims to investigate the influence of gratification (i.e., personal, social, and tension release gratification) sought from social networking sites (SNS) on customer engagement behaviour of satellite fans. Additionally, this research examines the influence of customer engagement behaviour (i.e., consuming, contributing, and creating activities) on sports teams' brand equity. Data for the study were obtained from 347 respondents who followed their favourite sports teams on SNS. Partial least squares structural equation modeling (PLS-SEM) was used to analyse the empirical data. The findings reveal that the SNS gratification needs of football fans influence their customer engagement behaviour. Also, customer engagement behaviour, that is, consuming and contributing activities, influences sports teams' brand equity. These findings provide great insights for brand managers on how to effectively use SNS to influence consumer.

Grocery retailing is undergoing rapid changes. New store formats and market channels, the entry of additional large players, and increasing multichannel activities on the supply side are accompanied by heterogeneous and changing consumer preferences. Retailers are increasingly competing in both price and variety. The question arises: how do product assortments affect retailers' prices? Larger assortments may be attractive for consumers who derive utility from variety or search for niche products. Retailers with a deeper assortment might be in a position to realize higher prices. Our study is the first to quantify the assortment-depth elasticity of price in online retailing, and the magnitude of assortment depth at which a further expansion of the assortment may no longer allow for a higher average price level. We collect a unique dataset for major online full-assortment grocery retailers in Germany and show that an increasing depth of grocery assortment raises online prices. The depth elasticity of price is below unity, and the influence is nonlinear.

Flexibility is recognized as one of the major shifts in the future of work. As emerging forms and structures of work challenge us to rethink how work is organized, specifically through the digitization of work by digital platforms, we are witnessing shifts in workplaces that challenge common models of full-time employment. To date, most frameworks looking to understand flexibility and flexible work arrangements are rooted in traditional employment settings. Building on existing concepts of flexibility and flexible work arrangements, this study examines how platform workers make sense of flexibility. Our findings conceptualize two central dimensions of worker flexibility, task and spatial flexibility, which are driven by the different attributes of the platform work. Our findings also demonstrate that different platform types, and the ways in which they mediate flexibility, leads to important differences in the ways workers experience their work.

The term ‘pivot’ first appeared in the practical literature, demonstrating its role in the Lean Startup, and immediately emerged in the academic literature. However, it suffered from conflicting perceptions and practice-academy divide. Moreover, recently, a growing number of scholars introduced it as a response to the pandemic crisis, at times as an umbrella term. In this study, we first test the concept ‘pivot’ against clarity criteria and find its problematic issues based on a qualitative content analysis of the literature; then, using a multi-case study, we get a critical distance from the pivot's origin; parsimoniously reposition it as ‘substitution’, differentiate it from ‘pivoting’ as its process theory; and discuss it in relation to vision, strategy, and business model. Finally, we propose a conceptual basis and some rules for operationalization.

In software systems, user experience (UX) is a quality that provides value to its intended users. Therefore, we consider it critical to manage UX and its link to business value quantitatively. Key performance indicators (KPIs) have been widely adopted for objectively measuring factors that influence business success, including measuring UX characteristics and their business contribution in the context of software systems in general. Yet, measuring UX in the context of complex Internet of Things (IoT) systems, especially Industrial IoT (IIoT) systems, remains a challenge.

This paper presents a multivocal literature review (MLR) of the UX-KPIs proposed in the context of (I)IoT systems, along with factors influencing UX and challenges of quantifying UX. We investigate the status quo and derive recommendations for measuring the UX of (I)IoT systems.

Our analysis of 64 publications shows that UX has so far received relatively little attention in the context of (I)IoT. Although we identified 605 KPIs, 78 influencing factors, and 119 challenges, most of the UX features discussed were defined in a broader context of software systems, i.e., they were less specific to IoT, but rather focused on universal system quality characteristics such as functional suitability, performance efficiency, usability, and reliability.

Finally, no generally accepted approach for measuring UX in (I)IoT systems and how these contribute to the overall business value has been proposed yet. We also found little evidence that improving UX or achieving a good UX currently plays an explicit role in the design and development of IoT systems.

Digital business model transformation (DBMT) necessitates new managerial capabilities, yet the existing literature lacks an empirical understanding of managerial capabilities as antecedents to strategic change and firm performance. This paper builds on dynamic managerial capabilities theory to argue that managerial human capital—composed of leadership and entrepreneurial skills—is a critical facilitator of DBMT and resultant firm performance. Further, the research model proposes that managers' social capital and cognition positively moderate the relationship between human capital and DBMT. The study's findings from a sample of German Industry 4.0 firms provide new insights into the significance of managerial capabilities in a digital economy. This study advances management literature by demonstrating that the benefits of managers' human capital for DBMT are contingent on its form: entrepreneurial skills facilitate digital transformation integral for firm performance, while leadership skills have no impact on firm performance—neither directly nor indirectly through DBMT. Thus, this study provides strong evidence of the importance of entrepreneurial skills in driving DBMT to increase firm performance. Further, the findings offer a nuanced account of the interrelationships between dynamic managerial capabilities, revealing that higher levels of social capital and lower levels of cognition increase the positive effect of entrepreneurial skills on DBMT. This study altogether reaffirms the significance of managers' dynamic capabilities for strategic change enabled by DBMT and their performance benefits, yet it reveals that the effect mechanisms differ from those found in nondigital research settings.

Digital transformation compels companies to seek new strategies and business models, allowing firms to find new ways to create and capture value. APIs have been widely used in improving internal processes and have been opened up recently to third-party developers to enable innovations in digital ecosystems. However, few studies have documented success stories of value generation through employing public APIs and thus enabling new, API-driven business models. This single case study examined the digital transformation in one of the leading organizations of the travel industry, Amadeus Corporation. Publicly available documents and other gray literature were used as data for content analysis. The results show how Amadeus has transformed its business model into an API-driven business model. This study contributes to the literature on API-driven business models by demonstrating the implication of APIs as a strategic tool in value co-creation. We identified six different values that were generated by exposing digital assets to API consumers through the API-driven business models of self-service platforms: commercialization, ecosystem, big data, market and marketplace, entrepreneurship, and R&D.

Knowledge work today is characterized by frequent interruptions. Digital distraction plays an increasingly important role in this work context as workers' behavior and emotional state online spills into work practices, causing stress and productivity loss. This article discusses solutions to digital distraction by advancing the concepts of mindful work and mindful technology. In doing so, it first critiques the design of prevalent productivity tools (i.e., “block-and-avoid tools”) that avoid the problem rather than remediating it. We argue that mindfulness is particularly applicable to handling digital distraction and propose a two-part framework for mindful work and mindful design through which workers can learn to work with technology — and their emotions — in more constructive ways. Lastly, we expand on our mindful work framework by proposing the concept of an intelligent personal assistant.