Information Systems and e-Business Management最新文献

The risk of peer to peer lending (P2P) platform is predicted based on text data on the Internet to avoid the risk of social network financing and improve the security of social network financing. First, the transaction and review text information of a third-party P2P platform are classified for the time series of emotional changes. Second, the Granger causal relation test is used to verify the correlation between the time series of emotional changes and trading volume. Finally, a long short-term memory (LSTM) forecasting model is proposed based on investors’ emotional changes to predict the trading volume of P2P platforms using emotional changes as a reference for social network financing to avoid risks. The results show that the value of Pearson correlation coefficient between the trading volume of P2P platforms and negative emotions is -0.2088, with a P value less than 1%, indicating a correlation between emotional changes and trading volume. The Pearson correlation coefficient between the predicted and actual values is 0.7995, whereas the mean square error is 0.2190 with a fitting degree of 0.6532. This shows that the LSTM forecasting model can accurately predict the trading volume of P2P platforms with good performance in comparison with other forecasting models.

Economic, political, and societal pressure forces companies to act more sustainably. New legislation and regulation such as the Supply Chain Act, mandates companies to take responsibility for their actions as well as those of their supply chain collaborators. Meeting these requirements demands transparency. Digital technologies along the supply chain have the potential to collect diverse types of data and raise awareness for sustainability purposes. For example, data obtained from multiple supply chain participants can be used to estimate CO₂ emissions or optimize resource utilization. Following guidelines for systematically reviewing a body of literature, this paper therefore investigates the distribution of digital technologies in supply chains for sustainability. Based on a collected corpus of 70 articles, we identify seven key digital technologies and indicate how they can be employed to contribute to economic, environmental, and social sustainability. The results show that (1) blockchain is the most used technology for sustainability within the supply chain and (2) the majority of articles on digital technologies in our corpus address the social dimension of sustainability. Our findings advance the understanding of how digitalization can transform supply chains into more sustainable entities and help practitioners decide which technology fits a certain sustainability dimension.

This study investigated the correlation between piglet performance and sow body weight change (BWC) during two gestational periods: 35-70, 70-105, and 35-105 days. A cohort of 70 sows was evaluated for BWC, backfat thickness change (BFC), caliper score change (CALC), feed intake, and weaning-to-estrus interval (WEI). The collected data were then analyzed according to the two specified periods. Our findings highlighted that piglet birth weight, weaning weight, and average daily weight gain (ADG) correlated with sow body characteristics, including BFC and CALC. The strongest correlation was observed with BWC. Piglet mortality was intimately associated with BFC. Piglet birth weight, weaning weight, and ADG showed a positive correlation with sow BWC, particularly during the 35-70 day period. Furthermore, sows displaying a higher BWC during the 70-105 day period, and also exhibiting a higher BW gain from 35-70 days, registered greater piglet weight gains and higher weaning weights. These trends became more apparent as the sow's BWC increased during the 70-105 day period. Piglet mortality increased when the sow exhibited a lower BWC during both the 35-70 and 70-105 day periods. No significant observations were found concerning the number of stillborn piglets, live-born piglets, or weaned piglets, and no interaction effects were detected between these periods. In conclusion, our findings underscore the significance of sow BWC during the early stages of gestation (d 35-70) for enhancing piglet performance from birth to weaning.

Industrial organizations of all kinds increasingly recognize the industrial internet of thing’s (IIoT) capabilities to enable valuable business process improvement (BPI). However, both theoretically and practically, there is a lack of clarity regarding the systematic and successful identification, specification, and implementation of corresponding applications. This article aims to bridge this research gap by presenting a comprehensive metamodel encompassing all relevant aspects and elements of IIoT applications with BPI propositions. The metamodel is the foundation for deriving generic yet practical patterns that can assist organizations in effectively executing IIoT projects. To evaluate the usefulness of the approach, five initial patterns were designed and applied by a market-leading organization. The metamodel and patterns contribute to the descriptive knowledge of the IIoT and facilitate sense-making, theory-led design, and practical project execution. To ensure rigor, the research endeavor followed fundamental principles of the design science research (DSR) methodology.

Adopting the dynamic capabilities (DC) perspective, this study proposes a model to assess the impact of organizational capabilities on business analytics (BA) use and addresses the moderating role played by environmental dynamism (ED). Based on 457 surveys of BA experts at Saudi Arabian firms and a partial least squares analysis of the model, the results show that data-driven decision-making has a direct and significant influence on BA use. The findings also show that ED has a direct influence on BA use and positively moderates the link between the knowledge aspect and BA use, which indicates that knowledge is required in a volatile environment for successful BA use. Together, these findings extend the dynamic capability view and provide a theory-based perspective on the impacts of organizational aspects of BA use, building a better understanding of the DC of firms and providing guidance to align the necessary capabilities in dynamic environments.

Abstract

Online Communities have been growing with increasing intervention of social media. The digital natives have also gradually started to spend a fairly large time on the internet and their contributions have grown significantly in shaping discussions and future of online communities. With an increase in contribution, it is also witnessed that these communities have also been responsible for promoting cyberbullying; trolling; fake news; discriminant; harassment and many more such pressing issues. While studies have focused on each of these important issues, their lies a dearth of contributions from the academicians and practitioners that would extend the debate on the theoretical and practical side of these issues. Furthermore, with increasing complexity of data and forms of data, the problem becomes multifold. The current special issue aims to build discussions and debate on these critical issues.

Abstract

Business agility has been recognized as a core competitive capability in a dynamic business environment. In this context, the organizational IT capability is a co-factor for achieving and keeping business agility. IT capability has been managed through the utilization of plan-driven IT service management (ITSM) frameworks and standards such as the ITIL v3.v2011 and the ISO/IEC 20000. These implementations have produced benefits such as better IT user satisfaction level, reduction of IT services TCO, and improved understanding and communication between IT services users and IT services staff. However, the current business environment continues highly changing with the emergence and maturation of new IT technologies and IT-based business innovation approaches. Consequently, the organizational IT capability is pushed to be also agile and keep its contribution to the business agility aim. Given the novelty of agile ITSM standards and frameworks—ITIL v4 framework, VeriSM framework, and the ISO/IEC 29110-4-3 standard—, there is a knowledge gap on what they are and how they could produce an agile organizational IT capability and contribute to the business agility aim in this modern business environment. This research, thus, compares the potential impacts on a business agility index from the main plan driven and agile ITSM frameworks and standards. For this aim, we design an Analytical Hierarchical Process (AHP) decision-making model using core findings from the business agility literature and the Porter’s value chain and simulate a set of scenarios. Simulation results indicated that: (1) there were differences in the contributions from the five evaluated ITSM frameworks and standards to the business agility index; and (2) the high and very high scores produced by the two agile ITSM frameworks and standards were obtained only when other relevant agility capabilities were also achieved. Hence, this research reduces the knowledge gap and provides initial theoretical findings and insights on the impacts on business agility from the main ITSM frameworks and standards considering other relevant agility capabilities. However, empirical research is encouraged to collect confirmatory evidence.

Rapid changes in the business environment have created opportunities and challenges. Businesses need to be more responsive to competitive environments and customers’ requirements. Business agility involves implementing agile practices across organizational functions. Agile processes are especially critical in IT Service Management (ITSM). When agile processes are implemented to meet changing business and customer demands in ITSM environments, the speed and leanness characterizing agile practices often lead to agile practices not always explicitly addressing all underlying risks. Customer demands for fast solutions often means that risks are not attended to with necessary thoroughness. Some risks are not apparent and these concealed risks need to be revealed and managed. The failure to completely address risks involves errors of commission and errors of omission. Coupling agile business, agile systems development, and agile ITSM practices with effective risk management approaches within the agile framework is a suggested approach to manage risk in this evolving environment.

Telework technologies have been known since the 1970s, yet their adoption levels remained low until Covid-19-related lockdowns and curfews. The known rational and non-rational technology acceptance theory and biases cannot fully explain this effect. One of the possible answers to fill this gap could be availability bias which has probably also affected the lag in adopting other technologies. To examine this phenomenon, we conducted a qualitative study with 22 interviews with individuals from different organizational backgrounds and telework adoption levels. Following a combination of inductive and deductive coding, we identified three key aspects of availability bias: intention, cognitive visibility, and cognitive transfer. The findings also allowed us to delineate this bias further from other biases, e.g., the status quo bias, and classical technology acceptance models, e.g., UTAUT. Thereby, this study examines a bias so far only very limitedly researched in the information systems and extends technology acceptance and cognitive bias literature. The findings should also enable practitioners to question their way of working and technology use more thoroughly.

Electronic forms, such as order entry or tax declarations, frequently serve as the primary point of contact between users and information systems. Given their significance, it’s crucial that these forms are intuitive and not burdensome for users to complete. One key aspect influencing the intuitiveness of forms is the sequence in which individual fields must be filled. This article reports on an empirical study involving 162 participants, which explored the intuitiveness of user forms across diverse scenarios. The study had two main objectives. Firstly, it sought to understand how users perceive different sequences of form fields in terms of intuitiveness. Secondly, it investigated the possibility of an intuitive sequence for form fields. The study found significant differences in intuitiveness among various ways of organizing form field sequences. Furthermore, it revealed a common understanding among users about the (sub-)sequence in which form fields should be arranged, notably that fields requiring file uploads should be located at the end of the form. The findings of this study provide valuable insights for developing more intuitive user forms in process-aware information systems, thereby enhancing the overall user-friendliness of such systems.