Antecedents of Information Adoption of Sharing Mobile Social Commerce Experience: The Mediation Role of Trust

Despite the growing importance of mobile social commerce (Ms-commerce), little research has been conducted on the effects of informational-related factors on Ms-commerce and the role of trust in user willingness to share their experiences. Drawing on the Information Adoption Model, we examine the effect of information usefulness, quality, credibility, and need on information adoption and the effect of information adoption on trust and willingness to share Ms-commerce experience. Using data from 280 UK Ms-commerce users, we applied Partial Least-Squares Structural Equation Modelling (PLS-SEM) to test the model. The findings show that informational-related factors have a significant and positive impact on Ms-commerce information adoption. Moreover, the effect of information adoption on trust and willingness to share Ms-commerce experiences was found to be significant. More importantly, this study has also yielded support for the mediating role of trust on the relationship between information adoption and willingness to share Ms-commerce experiences

A Hybrid Simulation Framework of Consumer-to-Consumer Ecommerce Space

In the past decade, ecommerce transformed the business models of many organizations. Information Technology leveled the playing field for new participants, who were capable of causing disruptive changes in every industry. Web 2.0 or Social Web further redefined ways users enlist for services. It is now easy to be influenced to make choices of services based on recommendations of friends and popularity amongst peers. This research proposes a simulation framework to investigate how actions of stakeholders at this level of complexity affect system performance as well as the dynamics that exist between different models using concepts from the fields of operations engineering, engineering management, and multi-model simulation. Viewing this complex model from a systems perspective calls for the integration of different levels of behaviors. Complex interactions exist among stakeholders, the environment and available technology. The presence of continuous and discrete behaviors coupled with stochastic and deterministic behaviors present challenges for using standalone simulation tools to simulate the business model. We propose a framework that takes into account dynamic system complexity and risk from a hybrid paradigm. The SCOR model is employed to map the business processes and it is implemented using agent based simulation and system dynamics. By combining system dynamics at the strategy level with agent based models of consumer behaviors, an accurate yet efficient representation of the business model that makes for sound basis of decision making can be achieved to maximize stakeholders\u27 utility

E-ticaret alanı için sipariş iptallerini tahmin etme: Perakendecilik deneyimine dayalı önerilen bir model

E-Commerce technologies enable contact between businesses and their suppliers for the aim of exchanging information such as purchase orders, invoices, and payments thank to the rapid development in information technologies. E-Commerce has become a particularly important concept and has revolutionized the retail space. Understanding customer behavior patterns is key to gaining competitive advantage and achieving business goals. Predicting the probability of order cancellations has become a very urgent need as it causes loss of revenue for the retailer. When dealing with day-to-day operations such as order processing, tracking and order cancellations, finding enough time to grow the business is difficult. Cancellations are an important aspect of retail industry revenue management. In fact, little is known about the factors that cause customers to cancel or how to avoid them. The aim of this study is to propose a model that predicts the tendency to cancel an order and the parameters that affect the cancellation of the order. This solution can identify key factors that cause orders to be canceled by analyzing historical transaction data. A custom modeling application has been created that helps automate the process of tracking order cancellations in real time and predict the probability of an order being cancelled. For this purpose, machine learning techniques (ML) such as Artificial Neural Network, Support Vector Machine, Linear and Logistic Regression, XGBoost, Random Forest are applied to provide a tool for predicting order cancellations. The Random Forest algorithm achieves the best performance with 86% accuracy and 88% F1-Score compared to the other algorithm. This work will help firms manage their inventories well and strengthen their actions regarding customer behavior.E-Ticaret teknolojileri, bilgi teknolojilerindeki hızlı gelişme sayesinde, işletmelerin satın alma siparişleri, faturalar, ödemeler gibi bilgi alışverişi amacıyla tedarikçileri ile iletişim kurmasını sağlamaktadır. E-Ticaret özellikle önemli bir kavram haline gelmiştir ve perakende alanında devrim yaratmıştır. Müşteri davranış kalıplarını anlamak, rekabet avantajı elde etmenin ve iş hedeflerine ulaşmanın anahtarıdır. Perakendeci için gelir kaybına neden olduğu için sipariş iptallerinin olasılığını tahmin etmek çok acil bir ihtiyaç haline gelmiştir. Sipariş işleme, takip ve sipariş iptalleri gibi günlük işlemlerle uğraşırken, işi büyütmek için yeterli zaman bulmak zordur. İptaller, perakende sektörü gelir yönetiminin önemli bir yönüdür. Aslında, müşterilerin iptal etmesine neden olan faktörler veya bunlardan nasıl kaçınılacağı hakkında çok az şey bilinmektedir. Bu çalışmanın amacı, bir siparişi iptal etme eğilimini ve siparişin iptalini etkileyen parametreleri tahmin eden bir model önermektir. Bu çözüm, geçmiş işlem verilerini analiz ederek siparişlerin iptal edilmesine neden olan temel faktörleri belirleyebilir. Sipariş iptallerini gerçek zamanlı olarak izleme sürecini otomatikleştirmeye ve bir siparişin iptal edilme olasılığını tahmin etmeye yardımcı olan özel bir modelleme uygulaması oluşturulmuştur. Bu amaçla Yapay Sinir Ağı, Destek Vektör Makinesi, Doğrusal ve Lojistik Regresyon, XGBoost, Rastgele Orman gibi makine öğrenme teknikleri uygulanarak sipariş iptallerini tahmin etme aracı sağlanmıştır. Rastgele Ormanalgoritması diğer algoritmaya göre %86 doğruluk oranı ve %88 F1-Score ile en iyi performansı elde etmektedir. Bu çalışma, firmaların envanterlerini iyi yönetmelerine ve müşteri davranışlarıyla ilgili eylemlerini güçlendirmelerine yardımcı olacaktır

A study of electronic commerce and tourism : e-commerce system evaluation and consumer behaviour in the e-business environment

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

The relationship between online trust, customer engagement and EWOM

This study aims to investigate the influence of e-quality and online trust on customer engagement and e-word of mouth. In particular, this study explored and analyzed a relatively new relationship, the impact of customer engagement on e-word of mouth. The measurement model and conceptual model describing the relationships hypothesized in the study was evaluated, based on responses from 370 online purchasing customers who are students or office workers in Ho Chi Minh City. E-quality has a direct impact on online trust, which impacts online customer engagement of customers and e-word of mouth. Online trust has a direct effect on customer engagement and e-word-of-mouth. In particular, online engagement impacts on e-word of mouth. This study provides not only theoretical and practical meaning, and enables companies to realize the importance of customer engagement and e-word of mouth but also a number of solutions to help businesses build and increase their customer engagement and positive e-word of mouth

Purchasing through Social Platforms with Buy Buttons: Academic and Practical Considerations

Social commerce sales are considerably increasing in recent years. Social platforms (e.g., Facebook, Instagram, and WeChat) play a strategic role in world economy. However, social platforms ran into several burning issues: low ad conversion rates, social platform users’ free-riding behaviors, etc. Although buy buttons, a clickable navigation element leading users from a social platform to an e-commerce platform, could be a solution for such issues, the outcomes of using buy buttons did not reach many professionals’ expectation. This thesis studied four issues related to social shopping with buy buttons. First, as it is undetermined whether a social platform should roll out the buy-button feature or not, it is necessary to study whether the presence of buy button is associated with better outcomes (e.g. users’ higher willingness to purchase through the social platform) or not. Second, as social commerce is a remote shopping mode in which buyers and sellers cannot have face-to-face interactions, high risk and low trust could be two crucial barriers of social commerce. Hence, it is needed to study how risk- and trust-related factors influence users’ direct purchasing behavior. Third, considering that social commerce could be risky, this thesis wants to examine whether the presence of safe shopping measures (vs. an unsafe shopping scenario) can improve the performance of social shopping or not. Finally, social commerce involves a purchase path from a social platform to an e-commerce platform. There are many pain points (e.g., re-entering billing and shipping information) in the purchase path. Meanwhile, as social shopping risks and pain points in the purchase path could be caused by a same factor, the silos between social platforms and e-commerce platforms. It is interesting to study how safe shopping measures and integrated path-to-purchase (users can complete a purchase without leaving the social platform; vs. separated path-to-purchase in which users have to leave the social platform and go to the e-commerce platform to complete a purchase) jointly influence users. In order to answer these questions, three essays have been included in this thesis. Several online surveys were conducted. The between-subjects experimental design and the Structural Equation Modeling (SEM) technique were used. The results showed that the presence of buy button was related to better outcomes. It found that risk- and trust-related factors significantly influenced users’ direct purchasing behavior. Both the safe shopping measures and the integrated path-to-purchase design can generate better outcomes of using a buy button in social shopping. In most circumstances, users showed more positive reactions when the safe shopping measures or the integrated path-to-purchase was present. However, no significant interaction effects between the safe shopping measures (vs. an unsafe shopping scenario) and the integrated path-to-purchase (vs. the separated path-to-purchase) were found. The theoretical contributions have been discussed in contrast to previous literature. This thesis has added academic value by offering new insights for previously established variable relationships in a different research context and studying variable relationships that have not been examined in previously relevant studies. From a practical viewpoint, as buy buttons inject e-commerce capabilities into social platforms, this thesis implies that socially focused platforms could reap benefits from social commerce by rolling out a buy-button feature. It is recommended that social platforms wanting to roll out buy buttons take safe shopping measures and create a seamless shopping experience for users.Tesis Univ. Granada.China Scholarship Council grant number: 201606170055National Natural Science Foundation of China grant number: 7170206

The First 25 Years of the Bled eConference: Themes and Impacts

The Bled eConference is the longest-running themed conference associated with the Information Systems discipline. The focus throughout its first quarter-century has been the application of electronic tools, migrating progressively from Electronic Data Interchange (EDI) via Inter-Organisational Systems (IOS) and eCommerce to encompass all aspects of the use of networking facilities in industry and government, and more recently by individuals, groups and society as a whole. This paper reports on an examination of the conference titles and of the titles and abstracts of the 773 refereed papers published in the Proceedings since 1995. This identified a long and strong focus on categories of electronic business and corporate perspectives, which has broadened in recent years to encompass the democratic, the social and the personal. The conference\u27s extend well beyond the papers and their thousands of citations and tens of thousands of downloads. Other impacts have included innovative forms of support for the development of large numbers of graduate students, and the many international research collaborations that have been conceived and developed in a beautiful lake-side setting in Slovenia

Drivers and barriers to product-service system consumer adoption in a fashion subscription case

Product-service systems (PSS) have been proposed as one mechanism through which corporate, consumer, and environmental interests may be aligned. The drivers for and barriers to consumer adoption, however, have remained largely unknown. This has impeded the diffusion of PSS and delayed the transitition to a more sustainable consumption paradigm. The role of trust in the PSS provider, one factor that is assumed to be critical to consumer adoption, remains similarly underexplored. This study borrows a consumer decision-making model derived from prospect theory as a theoretical lens. This lens is better suited to predicting adoption than explaining acceptance, on which previous theories in PSS research have focused. A PSS from the area of fashion, which features use- and result-oriented PSS attributes, is chosen as the context. The drivers for and barriers to the adoption of this PSS are quantitatively investigated (n=524) by combining experimental research design with structural equation modelling. Perceived value and risks are hypothesised to predict purchase intention, and product information treatments are presented to study participants to assess whether product information from a trusted provider can reduce uncertainty. The findings indicate that only cost savings potential will motivate consumers to purchase the PSS. Various perceived risks, including concerns about the product’s physical condition, fears that the PSS may render enjoyable shopping activities redundant, and the fear of being held financially liable for product returns, detract from purchase intentions, even if the provider is highly trusted. Four specific product information types are explored and the results indicate that trusted PSS providers have some scope to shift consumer perceptions in favour of adoption. The exception here remains the assurance that consumers can save money by purchasing the PSS instead of alternatives. This, combined with the relatively weak effects of the other product information types, indicates a) that several dimensions of trust are at work and b) that providers will struggle to transfer trust gained in regular business models to the effective marketing of PSS. This study extends current knowledge by first quantitively assessing the predictors of adoption in a PSS case combining various sustainability mechanisms under more realistic conditions to determine which are impactful. Second, knowledge from consumer decision-making is transferred to the area of PSS research. Third, the role of trust is specified to greater detail. Several avenues for future research emerge from these contributions. Keywords: PSS; B2C; consumer adoption; fashion; circular economy; sharing economy