Digital Business最新文献

The explosive growth of information technology has encouraged organizations to use new technologies in all areas. These changes are also visible in the banking industry. In this situation, customers have used both electronic and traditional services, and each has its own features. According to expectancy-value theory, customer value and expectations both affect customer buying behavior and should be considered by banking managers in designing their strategies. Better understanding of these features will help banks to provide customers with the services they need and, as a result, maintain them. Hence, using expectancy-value theory as a framework this study proposed a two-dimensional approach to examine the customers' behavior in both electronic and traditional banking in Iran. To this end, the data of one-year transactions of XYZ bank (one of the largest private banks of Iran) customers, consisting of one million records, was used and customers were clustered using the RFM model - recency, frequency, and monetary. The CRISP-DM methodology was used to extract knowledge from customer data and the K-Mean algorithm was used for clustering. Customer lifetime value was also calculated using Lawshe criteria. According to the results, customers who use both electronic and traditional bank services are more valuable. The two-dimensional approach proposed and provides a two-sided view of the customer, and thereby provides a more comprehensive knowledge and understanding of customer behavior, and contributes to the body of literature in this field. Using the proposed model, different banks can better classify their customers and can provide the right product / service to the right person.

The rapid development of novel, innovative digital technologies significantly impact organizations and their business ecosystem. Organizations must stay abreast of the latest developments and respond to them continuously to remain competitive. Many organizations make significant investments in enterprise architecture management (EAM) to manage the transformation of their complex information technology (IT) and information systems (IS) landscape and to guide their digital transformation. However, empirical research on EAM benefit realization is limited. This research conceptualized EAM as a particular type of dynamic managerial capability. Survey data (N = 110) was used in a set-theoretic approach (fsQCA) to identify EAM configurations that lead to a presence of technical IT capabilities and strategic IT alignment. The results indicate the importance of system changes induced by the EAM function itself to improve technical IT capabilities. Furthermore, setting up clear standards and rules, and developing and planning the migration to target architectures is particularly important to align business and IT in larger organizations. This research contributes to the academic knowledge base on EAM benefit realization and supports the needed reconceptualization and evolution of EA and EAM to better support organizations' digital transformations. Furthermore, the outcomes can help decision-makers justify and guide their EA investments while implementing a digital strategy.

Context

What do Uber Ride, Airbnb Lodging, and eBay Marketplace have in common? All three platform business models generate extensive network effects (NfX) between providers and consumers. Network effects are the magic force that turns a single taxi service agency into a provider for an entire mobility market.

Objective

The goal of this paper is to present an approach, namely the NfX Construction Guide, that enables the design of virtuous circles of network effects in two-sided markets for platform business models.

Method

The research design we used to develop the NfX Construction Guide is inspired by action research and follows a technical action research method, by exploring the guide's applicability in a real-world project of a digital platform for smart rural areas.

Contribution

The contribution of this paper is an approach, validated with ecosystem experts, that enables practitioners to design virtuous cycles of network effects for platform business models. Our results are summarized in reflective learnings about the applicability of the proposed approach.

This study aims to understand the impact of the “Free App of the Day” (FAD) promotion on app sales during the post-promotion period on Amazon Appstore. The FAD promotion spotlights a single paid app by presenting it on the frontpage of Appstore, offers the app free of charge for one day, and broadcasts the promotion through Amazon's social media channels. This digital marketing strategy differs from the commonly adopted digital free sampling and sponsorship practices. In this study, we empirically examine its potential negative effect by analyzing a panel data set of FAD app sales and reviews. We find evidence that, when the app promotion expires, the price rebounding to the pre-promotion level discourages online customers from purchasing the app. We also observe an elevated amount of promotion-induced reviews generated at a high velocity during early days of the post-promotion. We conclude that these promotion-induced reviews are less influential than organic reviews.

The growing interest in applying blockchain technology in the supply chain management (SCM) calls for theory-driven research to develop better understanding of its adoption, deployment and use, and its implications for the supply chain. However, theory-based research on blockchain in the supply chain is scarce. There is a lack of guidance on the range of theories that can be used to further develop this emerging field. We address this need in this study. We draw on the existing literature to develop a comprehensive list of factors and barriers influencing blockchain applications in the supply chain and identify relevant theoretical perspectives that can be used in blockchain-SCM research. We develop a framework for theory-driven research encompassing four important facets of blockchain-SCM studies - intra-organizational, inter-organizational, technical, and external environment. We present a range of theoretical perspectives that can be used, alone or in combination, to advance theory development in each area of study as the pace of blockchain adoption in the supply chain increases.

While digital transformations are taking place, we still have limited understanding as to how ecosystems and supply chains differ from a theoretical standpoint and how they relate practically. We study the evolution of the concept of ecosystems through a systematic review of the literature to describe how the two concepts relate throughout this evolution. We use cases to investigate how ecosystems and supply chains relate practically. We show that non-contractual governance in a supply chain facilitates investment in specific assets by a few key suppliers, while non-contractual governance in an ecosystem facilitates the creation of collective shared assets by many ecosystem participants. We also show that practically supply chains and ecosystems can either compete or complement each other and we present some of the conditions for the emergence of such relations.

The Covid-19 outbreak in early 2020 has changed people's way of life, work and access to information. This has led to the growth of contactless digital technologies for customers' and organisations' benefit. In this context, one specific area of interest is the remote work environment, especially the introduction of remote work systems (RWS) in organisations. Notwithstanding its growing importance, RWS implementation in developing countries has experienced several challenges. Thus, the purpose of this study is to empirically investigate the antecedents of RWS adoption in organisations among different industries in a developing country context. Using the technology, organisation and environment (TOE) framework, the study unearths the RWS antecedents through a quantitative method design (353 participants) in Ghana. Relative advantage, complexity, organisational readiness and competitive advantage had a significant impact on contactless digital technologies adoption while compatibility, top management support, competence and regulatory support were insignificant antecedents in a developing country context. Our study highlights the important role of RWS adoption factors in propelling users' interest in future innovations and new technologies. A successful convergence of the validated TOE factors would advance organisation's services, change traditional business models and transform business operations and social lives.

The Unified Payment Interface (UPI) platform emerged as the most advanced mobile-based payment system in the recent past that could be established to have significant value to customers and banks in India. UPI was designed to offer ubiquitous availability at all times, efficiency, ease of use, and transparency to its user. Despite these attractive features and the massive rise of internet and smartphone users, the number of UPI users has not shown significant growth as expected. To better examine the problem, it is crucial to know the factors influencing the UPI adoption, usage, and intention to recommend by the existing customers. Earlier research on UPI has mainly focused on its operations only. In this study, we have shifted focus on determinants of adoption of UPI by Indian customers based on the Diffusion of Innovation (DOI) theory to achieve a specific result on usage and recommendation intentions. The result of the study revealed that relative advantage, complexity, and observability which are the main determinants of adoption of UPI, have a significant positive association with the intention to use of users. Further, higher intention to use and satisfaction positively correlates with the recommendation of UPI by existing users. Overall, the study model helps understand how different aspects of UPI influence the usage and recommendation intentions.

Trust is intimately connected with relational interactions, but does it also have a role to play in transactional exchanges? How would it differ? While trust has been discussed extensively in sharing economy research, the focus has been on trust cues created in exchanges between strangers, thereby approaching trust empirically rather than theoretically. Focusing on user trust, this paper investigates how trust constructs from relational interactions manifest in the sharing economy. This paper bridges sharing economy research with trust as a theoretical construct to investigate the well-established variables of ability, benevolence and integrity as components of trust in the sharing economy. The paper is based on a questionnaire survey of 175 users of Uber's co-driving service UberPop. Descriptive and regression analyses were conducted focusing on user trust in the platform and providers. The findings indicate how trust in transactional exchanges is shaped differently compared with trust in relational interactions. User trust in providers, which diminishes over time, is based on emotional traits, while user trust in the platform is based on functional components. The platform and providers thereby complement each other in terms of the trust created. This paper contributes to research on trust by focusing on trust in transactional exchanges, and to research on the sharing economy by investigating trust based on theoretical constructs.

The use of analytics in corporate decision-making processes demands a paradigm shift within companies, and particularly among their top executives. Corporate leaders represent a major lever for this change. Therefore, a deeper understanding of their managerial capabilities, characteristics and contribution in this context is required. Aiming to provide actionable guidance on how to manage the shift to data-driven decision making, this study helps to develop a more profound understanding of this emerging managerial role by examining managerial success factors following a semi-structured interview approach. With insights from interviews with 32 top executives from Germany across different industries, this paper research proposes four managerial archetypes that are relevant to mastering the digital transformation towards analytics-based decision-making processes. Furthermore, it sheds light on the characteristics, capabilities, and contributions of the four archetypes—Analytical Thinker, Coach, Guide, and Strategist. Although the archetypes have differentiated attributes and qualities, all four seem of importance in manifesting analytics in organizations. Our findings provide guidelines to assess the top management's abilities to manage digital transformation projects. Furthermore, the results serve as basis for future empirical research on the human aspect of analytical capabilities regarding leadership.