Follow the Leader”: Leadership and Incentives to Use Enterprise 2.0 Applications

E2.0 facilitates the efficient collaboration of employers and workers across departmental boundaries. The exponential growth of nascent enterprise-level social network platforms implies important impacts on employees’ daily working styles and the implementation decisions made regarding these platforms represent the significant digital innovation. Despite this importance, limited effort has been devoted to understanding whether company senior managers’ leadership influences employees’ commitment to E2.0-driven change. Using a novel proprietary dataset from a leading E2.0 platform, we investigate the impact of change leadership perceived by employees on the implementation of E2.0. The sample includes information on 575 paid customers (i.e. firms) with 65,407 individual users and 2,286 previous customers with 99,807 individual users from 2011-2016. Our research will provide key insights for several groups of stakeholders, including platform developers, company senior managers, and workers. The expected contribution and practical implications are discussed

A Review of Cloud-Based ERP Systems in SMEs

The adoption of Enterprise Resource Planning (ERP) system in small and medium enterprises (SMEs) could offer significant benefits in terms of managing the resources and support business function. However, the traditional ERP systems are quite expensive and have complex procedures for the adoption especially for SMEs. With the introduction of cloud-based ERP systems that have similar functionalities with traditional ERP, SMEs are now able to adopt this system. However, the adoption of cloud ERP remains low and question arise on how to encourage SMEs to adopt this system. Drawing from management and Information Systems literature, this study proposes and conceptual framework for cloud ERP adoption among SMEs. Using archival analysis approach and technology-push and demand-pull as the theoretical background, this research has come out with six main themes namely:  firm qualities, internal pressure, external pressure, technology features, organizational readiness and external support. This paper will give significant benefits to ERP vendors to understand their potential buyer’s behaviour towards the adoption of cloud ERP

Generalized extreme value regression for binary response data: An application to B2B electronic payments system adoption

In the information system research, a question of particular interest is to interpret and to predict the probability of a firm to adopt a new technology such that market promotions are targeted to only those firms that were more likely to adopt the technology. Typically, there exists significant difference between the observed number of ``adopters'' and ``nonadopters,'' which is usually coded as binary response. A critical issue involved in modeling such binary response data is the appropriate choice of link functions in a regression model. In this paper we introduce a new flexible skewed link function for modeling binary response data based on the generalized extreme value (GEV) distribution. We show how the proposed GEV links provide more flexible and improved skewed link regression models than the existing skewed links, especially when dealing with imbalance between the observed number of 0's and 1's in a data. The flexibility of the proposed model is illustrated through simulated data sets and a billing data set of the electronic payments system adoption from a Fortune 100 company in 2005.Comment: Published in at http://dx.doi.org/10.1214/10-AOAS354 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

How to Enable Future Faster Payments? An Evaluation of a Hybrid Payments Settlement Mechanism

In the era of Fintech innovation and e-commerce, faster settlement of massive retail transactions is crucial for business growth and financial system stability. However, speeding up payments settlement can create periodic liquidity shortfalls to banks which would incur high cost of funds in the settlement process. We propose a new hybrid settlement mechanism design that integrates features of real-time gross settlement, deferred net settlement, and central queue management structure. The hybrid mechanism is managed by an intermediary and is particularly suitable to settle large volume of small-value retail payments. We evaluate the mechanism using computer experiments and simulation. We find that central-queue netting is an effective means to achieve high system performance. Our results also show that the intermediary plays an important role in coordinating multilateral central-queue netting and supplying liquidity as needed to banks. We offer some policy insights into future faster payments settlement mechanism design and implementation

Review of corporate digital divide research: A decadal analysis (2003-2012)

The digital divide (DD) refers to the gap between individuals, companies, regions and countries in accessing and using the information and communication technology (ICT). DD research is mainly oriented towards detection of differences in the ICT use among individuals. An important part of DD research refers to the differences in ICT adoption and use among corporations. The goal of this paper is to present a review of published papers on DD among corporations. Papers from the journals indexed in SSCI that investigate corporate DD were examined in order to compare the research on corporate DD in terms of: (1) geographical area, time frame of the study, sampled corporations; (2) phenomena used as the indicators/measure of DD, inequality type, ICT adoption cycle, determinants of DD; and (3) data collection approach, data sources, sample size and methodology used for investigation of DD determinants

Review of corporate digital divide research: A decadal analysis (2003-2012)

The digital divide (DD) refers to the gap between individuals, companies, regions and countries in accessing and using the information and communication technology (ICT). DD research is mainly oriented towards detection of differences in the ICT use among individuals. An important part of DD research refers to the differences in ICT adoption and use among corporations. The goal of this paper is to present a review of published papers on DD among corporations. Papers from the journals indexed in SSCI that investigate corporate DD were examined in order to compare the research on corporate DD in terms of: (1) geographical area, time frame of the study, sampled corporations; (2) phenomena used as the indicators/measure of DD, inequality type, ICT adoption cycle, determinants of DD; and (3) data collection approach, data sources, sample size and methodology used for investigation of DD determinants

Taxonomy for Understanding Digital Community Currencies: Digital Payment Platforms and Virtual Community Feelings

Community currencies are known for decades and observed in developing and developed countries. They are, usually, created to fight financial and social exclusion and promote local development. Although there are several community currency projects around the world, very little studies have covered the particular case of those that circulating in digital format. Regarded as a way to improve management of community currency systems, new implementations based on plastic cards cell phones, or blockchain technologies, are becoming more common, as technology is becoming more accessible and financial crisis creates opportunities for the emergence of alternatives to the traditional financial system. If technology is expected to collaborate in transparency, costs and speed of transactions, it also imposes challenges to communities that implement them. In this scenario, the objective of this article is to explore conflict and benefits of the community currency that circulates in a digital format, investigating this phenomenon as a particular case of digital payment platform. Analyzing 22 digital community currencies, we propose a taxonomy that divided them in four groups, and then explore emergent conflicts and benefits for each of them

Optimal Design and Ownership Structures of Innovative Retail Payment Systems

In response to the Fintech trend, an ongoing debate in the banking industry is how to design the new-generation interbank retail payment and settlement system. We propose a two-stage analytical model that takes into account the value–risk tradeoff in the new payment system design, as well as banks’ participation incentives and adoption timing decisions. We find that, as the system base value increases, banks tend to synchronize their investment and adoption decisions. When the system base value is low and banks are heterogeneous, bank association ownership maximizes social welfare. When both the system base value and bank heterogeneity are moderate, government mandate leads to the socially optimal solution. When the system base value is high and banks are relatively homogenous, government ownership is socially optimal. We offer important policy implications regarding the optimal system design and the government regulator’s role in shaping the banking industry in future financial innovation

An Examination of Social Comparison Triggered by Higher Donation Visibility over Social Media Platforms

With the recent development of social media, social networking sites have become an important channel for charitable fundraising. Some social networking sites, like Facebook and Weibo, initiate their own charitable campaigns by collaborating with nonprofit organizations. By changing donation visibility, social media platforms can alter the level of social comparison and affect users’ donation patterns. Using individual-level data from a microblogging platform where a donation service is embedded, we investigate how individual donation decisions are influenced by the visibility of donation information. We find that despite the platform designer’s desire to improve fundraising performance, higher visibility of donors’ contributions may have a negative impact on fundraising. We also find that donations made by users’ followees generally have a positive impact on users’ propensity to donate. On the contrary, donations made by the crowd only positively affect a subset of users, while they have a negative impact on other users

Partial Least Squares Structural Equation Modeling Approach for Analyzing a Model with a Binary Indicator as an Endogenous Variable

In this paper, we focus on PLS-SEM’s ability to handle models with observable binary outcomes. We examine the different ways in which a binary outcome may appear in a model and distinguish those situations in which a binary outcome is indeed problematic versus those in which one can easily incorporate it into a PLS-SEM analysis. Explicating such details enables IS researchers to distinguish different situations rather than avoid PLS-SEM altogether whenever a binary indicator presents itself. In certain situations, one can adapt PLS-SEM to analyze structural models with a binary observable variable as the endogenous construct. Specifically, one runs the PLS-SEM first stage as is. Subsequently, one uses the output for the binary variable and latent variable antecedents from this analysis in a separate logistic regression or discriminant analysis to estimate path coefficients for just that part of the structural model. We also describe a method—regularized generalized canonical correlation analysis (RGCCA)—from statistics, which is similar to PLS-SEM but unequivocally allows binary outcomes