Research on E-commerce Online to Offline Behavior Mechanism in Agricultural Products

Currently, online and offline channel integration as a successful business model is used in many industries, this paper aims at providing an insight into the factors affecting online channel (online shop) and offline channels (entity shop) in the agricultural product industry. Drawn from the extant literature, a consumer online and offline behavior model including trust, system quality, information quality , environment quality and service quality, online and offline satisfaction ,customer loyalty were provides. Data were obtained from 228 customers in china during 2014. Based on the data obtained, SPSS19.0 software is used to analyze reliability test and validity, descriptive statistics, correlation analysis, and AMOS17.0 were employed to calculate the path coefficient, and tests the proposed model. Data analysis shows that: The model describes the relationship among the online satisfaction, offline satisfaction and customer loyalty, and establishes a multi-relationship model that includes trust, system quality, information quality, environment quality and service quality. The factors impacting online satisfaction include trust, system quality and information quality; the factors impacting offline satisfaction include environment satisfaction and service quality. Meanwhile, we highlight the role of trust in online satisfaction, and prove that both online satisfaction and offline satisfaction have interaction on customer loyalty. Keywords

Barriers and paradoxical recommendation behaviour in online to offline (O2O) services. A convergent mixed-method study

Mobile apps offering online to offline (O2O) services act as aggregators providing interface for delivery of required products and services at a preferred location. Despite offering multiple affordances, many O2O services have not diffused as anticipated, indicating the existence of consumer resistance towards them. One such example is that of food delivery apps (FDAs), which are experiencing resistance at both the pre-adoption and post-adoption stage. However, there are scarce empirical findings explicating the pre-and post-adoption barriers perceived to be associated with FDAs. The present study addresses this gap by utilising the Innovation Resistance Theory (IRT) and a convergent mixed-method study design to examine the barriers that existing FDA users face and how these impinge on their trust and valence of recommendation behaviour (positive and negative word of mouth). The study not only extends the classic IRT barriers to the FDA-context by identifying three key barriers (economic, efficiency, and experience) but also offers empirical evidence to support the negative association of barriers with trust and paradoxical recommendation behaviour by analysing data collected from 303 FDA users through Prolific. The findings also support the mediation effect of trust and the moderation effect of advertisement overload on the identified associations, making interesting theoretical and practical contributions.publishedVersio

Barriers and paradoxical recommendation behaviour in online to offline (O2O) services. A convergent mixed-method study

Mobile apps offering online to offline (O2O) services act as aggregators providing interface for delivery of required products and services at a preferred location. Despite offering multiple affordances, many O2O services have not diffused as anticipated, indicating the existence of consumer resistance towards them. One such example is that of food delivery apps (FDAs), which are experiencing resistance at both the pre-adoption and post-adoption stage. However, there are scarce empirical findings explicating the pre-and post-adoption barriers perceived to be associated with FDAs. The present study addresses this gap by utilising the Innovation Resistance Theory (IRT) and a convergent mixed-method study design to examine the barriers that existing FDA users face and how these impinge on their trust and valence of recommendation behaviour (positive and negative word of mouth). The study not only extends the classic IRT barriers to the FDA-context by identifying three key barriers (economic, efficiency, and experience) but also offers empirical evidence to support the negative association of barriers with trust and paradoxical recommendation behaviour by analysing data collected from 303 FDA users through Prolific. The findings also support the mediation effect of trust and the moderation effect of advertisement overload on the identified associations, making interesting theoretical and practical contributions. publishedVersio

Research on the Innovation of Business Ecosystem Model in China’s 0nline Food Reservation Market at Sharing Economic Era

At the sharing economy era, the online food reservation market has experienced great changes, such as the mobilization of ordering，cooperation of logistics , diversification of revenue stream. The ordering patterns has also changed from network order to improve user experience. At present, online food reservation market has difficulties inquickly dealing with the impacts and challenges bought by external environment due to lack of coordination and sharing mechanisms and competition over cooperation among economic individuals.Based on the theory of business ecosystem, this paper focuses on the impacts and challenges brought by the sharing economic era and takes “Huijiachifan” as a case study and proposes new framework of business ecosystem model in China\u27s online food reservation market

Psychographic And Behavioral Segmentation Of Food Delivery Application Customers To Increase Intention To Use

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThis study presents a framework for segmenting Food Delivery Application (FDA) customers based on psychographic and behavioral variables as an alternative to existing segmentation. Customer segments are proposed by applying clustering methods to primary data from an electronic survey. Psychographic and behavioral constructs are formulated as hypotheses based on existing literature, and then evaluated as segmentation variables regarding their discriminatory power for customer segmentation. Detected relevant variables are used in the application of clustering techniques to find adequate boundaries within customer groupings for segmentation purposes. Characterization of customer segments is performed and enriched with implications of findings in FDA marketing strategies. This paper contributes to theory by providing new findings on segmentation that are relevant for an online context. In addition, it contributes to practice by detailing implications of customer segments in an online sales strategy, allowing marketing managers and FDA businesses to capitalize knowledge in their conversion funnel designs

Investigating the factors that affect dissatisfaction/satisfaction, purchase intention, and loyalty in mobile games?

Thesis(Master) --KDI School:Master of Public Policy,2017Freemium Models have become the dominant forms of mobile games in the market today. Freemium models carry different transaction structure, and consumer behavior also differs from other typical forms of businesses. Satisfaction and dissatisfaction occurs not after a purchase has been made, but before the user makes the decision to purchase in-app virtual goods, as the users have the opportunity to form an attitude as they experience the ‘free’ part of the game. Making in-app purchase in freemium models shortens the time for the user to reach designated goals, but the cost to get there sometimes seem too costly. On the other hand, consumers could choose to use O2O services to receive other benefits. Using O2O services, or promotional services, could in turn affect purchase intention as well, if the consumers are willing to incur the extra costs of bringing themselves out of the online world into the offline market. This study therefore mainly investigates the relationships that link satisfaction/ dissatisfaction and purchase intention, and the ultimate effect on user loyalty. The findings of this study indicate that dissatisfaction may have positive effect on purchase intention, but satisfaction is still the dominant factor in the users’ behavior, and therefore satisfying the users should be prioritized, rather than devising the pricing scheme to make the users pay.I Introduction II Literature Review III Theoretical Background IV Hypothesis Development V Quantitative Analysis VI ConclusionOutstandingmasterpublishedMin Sang KIM

The strategy for combining online and offline business model for MSMEs

Digital transformation has created an information revolution, eliminated boundaries, created a knowledge-based global market, and in MSMEs finding new business models, conducting business transactions and collaborating in all fields to form economic strength. Activities that are completely digital, even transaction activities are carried out digitally because they are faster, more effective and efficient. Therefore, MSMEs can apply a business model strategy that can combine online and offline activities. To increase their capability, MSMEs start with developing strategies to become hybrid businesses and combined online and offline business models. In this case, the authors conducted research on MSMEs that use strategies to combine online and offline business, this study offers guidance for MSMEs on what strategies should be used in achieving a business hybrid so that online and offline business models can be combined. In the formation of a business hybrid, there are five capabilities, namely, assimilative capability, ambidextrous capability, environmental capability, autonomous capability and digital and non-digital competitiveness capability. The ability of assimilative can improve managerial ability in the company, absorb knowledge or resources not only from the external environment, but can come from different business units within a company

Leveraging Smart Technology for User Experience Personalization – A Comparative Case Study of Innovative Payment Systems

Background: This study seeks to understand how the attributes of smart technology (SMT) can be leveraged to enable personalized services and optimize unique user experiences to attract and retain customers. Based on Kang et al.’s (2020) study of SMT attributes and quality effects and Liang et al.’s (2006) study on personalized recommendation and user satisfaction, we constructed a SMT personalization model to analyze how the SMT attributes of smart functionality and smart content enable personalization in different ways and create unique customer experiences throughout the user journey. Method: Two representative payment systems were selected to depict how they integrated the strengths of personalized smart functionalities and contents to innovate their business models, optimize user experiences, and sustain business growth. Results: Based on the comparative analysis of the two payment cases, the functionality and content attributes of smart chips and omni-channel platforms were explored, and the tailored advisory and responsive support for customers both offline and online were validated. Conclusion: The life-enriching service innovations provide valuable insights for leveraging SMT for personalization. It is hoped that the SMT personalization model can be extended to other types of SMT applications and can be used as a framework for designing innovative services

Business model innovation of Chinese internet enterprises a stakeholder perspective of BAT (Baidu, Alibaba, Tencent)

Driven by the tide of world economic development and the rapid development of information technology, China's Internet industry has developed rapidly and continuously, and the business model has been continuously innovated, which has effectively promoted the development of China's Internet industry economy. However, rapid development has led to conflicts and conflicts between business model innovation and stakeholders such as user interests, corporate ethics, and corporate performance. This study combs the relationship and interaction between business model theory, corporate ethics theory, and stakeholder theory, reviews the development history of Chinese Internet companies, analyzes the forms of Chinese Internet enterprise business model innovation, and discusses the contradiction and confusion within the innovation of China's Internet business model, and construct the "Business Model Innovation - Performance Structure Model". Through the case studies of Baidu, Alibaba, and Tencent, it verifies the inevitable relationship among the business model innovation - stakeholder relationship quality - corporate performance. And put forward relevant suggestions for the problems in the Internet business model innovation.Impulsionada pela tendência do desenvolvimento econômico mundial e pelo desenvolvimento rápido da tecnologia das informações, o setor de Internet da China desenvolveu- se rápida e continuamente, e o modelo de negócios foi continuamente inovado, o que efetivamente promoveu o desenvolvimento da economia chinesa da indústria da Internet. No entanto, o desenvolvimento rápido levou a conflitos entre a inovação do modelo de negócios e os stakeholders, como os interesses dos usuários, a ética corporativa e o desempenho corporativo. Este estudo combina a relação e interação entre a teoria do modelo de negócios, a da ética corporativa e a dos stakeholders, recorda a história de desenvolvimento de empresas de Internet chinesas, analisa as formas de inovação do modelo chinês de negócios e discute a contradição e confusão dentro da inovação de modelo de negócios da indústria de Internet na China, construindo o "Inovação do Modelo Empresarial - Modelo de Estrutura de Desempenho". Por meio dos estudos de caso do Baidu, Alibaba e Tencent, verifica-se a relação inevitável entre a inovação do modelo de negócios - qualidade do relacionamento com stakeholders - desempenho corporativo. E apresenta sugestões relevantes para os problemas na inovação do modelo de negócios na indústria de Internet