Relevant bibliographies by topics / O2O (Online to Offline)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'O2O (Online to Offline)'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "O2O (Online to Offline)"

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Xu, Qi, Wen-Jie Wang, Zheng Liu, and Pan Tong. "The Influence of Online Subsidies Service on Online-to-Offline Supply Chain." Asia-Pacific Journal of Operational Research 35, no. 02 (2018): 1840007. http://dx.doi.org/10.1142/s0217595918400079.

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Online-to-offline (O2O) business model is the new online shopping model in which consumers purchase products or services online and get the products or services in offline physical store. Online subsidies service which provides subsidies for online order is the common way adopted by O2O business to expand the market demand. The demand changes brought by online subsidies service will temporarily disrupt the supply chain balance. In this paper, the O2O supply chain with online subsidies service is modeled to analyze the influence of demand disruption on O2O supply chain performance at the beginning. Then, the optimization of O2O supply chain with online subsidies service to face demand disruption is discussed.
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Wardhanie, Ayouvi Poerna, Puspita Kartikasari, and Sri Hariani Eko Wulandari. "Pertumbuhan Bisnis Melalui Metode O2O pada Usaha Mikro, Kecil dan Menengah (UMKM) di Indonesia." Jurnal Ilmiah Bisnis dan Ekonomi Asia 12, no. 2 (2018): 76–83. http://dx.doi.org/10.32812/jibeka.v12i2.10.

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Upaya pemerintah dalam mendorong Usaha Mikro Kecil dan Menengah (UMKM) untuk “go online” mendapat dukungan besar dari para pelaku e-commerce. Hal ini disebabkan karena kekuatan ekonomi khususnya di Indonesia sebesar 60% terletak pada UMKM. Di era mobile internet saat ini, jumlah pengguna smartphone yang telah melakukan online adalah sumber utama dalam pengembangan UMKM. Salah satu strategi yang diadopsi oleh banyak pelaku bisnis di Indonesia adalah strategi Online to Offline atau Offline to Online (O2O). Model bisnis O2O tidak hanya mengubah mentalitas konsumen dan model layanan tetapi juga membawa tantangan baru bagi e-commerce tradisional. Dapat dikatakan bahwa e-commerce saat ini mencari cara baru untuk menggabungkan ekonomi online dan offline, yang merupakan tren yang tak terelakkan dalam pengembangan e-commerce. Oleh karena itu, model bisnis O2O adalah model bisnis yang tepat untuk UMKM karena memiliki prospek pengembangan yang besar. Makalah ini akan membahas pengenalan model O2O dan strategi pengembangannya kepada UMKM, dan juga untuk mempromosikan pengembangan aplikasi e-commerce berbasis O2O di UMKM.
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Ram, Jiwat, Ashokkumar Manoharan, and Siyao Sun. "Examining the Adoption of Onlineto- Offline (O2O)." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 52, no. 1 (2021): 10–26. http://dx.doi.org/10.1145/3447934.3447937.

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The online-to-offline (O2O) business model is rapidly growing among organizations, yet current knowledge on O2O adoption is predominantly individual focused, with little research on organizational adoption and the factors driving adoption. To address this gap, underpinned by the diffusion of innovation (DOI) theory, this study collected qualitative data (24 semistructured interviews), which were analyzed using content analysis techniques. We found that offline service quality and social network prosperity are some of the factors driving O2O adoption. Surprisingly, inefficient offline marketing was also found to drive O2O adoption, which indicates new challenges posed by the growing online business environment. We found that not all factors can be categorically classified as facilitating or impeding adoption, as some factors (such as operational challenges and costs) could play dichotomous roles of facilitating or impeding in the context of peculiar circumstances. For example, we found cost to be an impeding factor, yet the results also indicated the benefits of cost reduction resulting from O2O adoption, thereby rendering cost a contentious issue. This study extends the application of DOI theory to the O2O adoption stage, and identifies a number of new factors associated with internal/external organizational characteristics, as postulated in the DOI. Managerial implications are discussed.
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Chang, Yu-Wei, Ping-Yu Hsu, and Qing-Miao Yang. "Integration of online and offline channels: a view of O2O commerce." Internet Research 28, no. 4 (2018): 926–45. http://dx.doi.org/10.1108/intr-01-2017-0023.

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Purpose This study uses the travel industry as the research context and investigates online–offline integration between the different business entities of hoteliers and online travel agencies (OTAs). The purpose of this paper is threefold: first, to examine cooperation between hotels and OTAs; second, to examine how online and offline satisfaction increase behavioral intentions toward online and offline channels; and third, to investigate the factors that increase online and offline satisfaction. Design/methodology/approach To investigate customers’ behavioral intentions toward online and offline channels, the authors collected 241 data points from ten hotels from four well-known chains. The partial least squares structural equation modeling approach was used to test the research model and the 13 hypotheses. Findings The results show that system quality, information quality and service quality of OTA websites increase online satisfaction. Online satisfaction further increases behavioral intentions toward online channels but has no significant effect on offline satisfaction and behavioral intentions toward offline channels. Emotional value and social value offered by hotels increase offline satisfaction. Offline satisfaction further increases behavioral intentions toward online and offline channels. Finally, behavioral intentions toward online channels indeed reinforce behavioral intentions toward offline channels. Originality/value Some prior studies have focused on the effects of offline channels on online channels, whereas others have examined the influences of online channels on offline channels. However, in previous studies, the online and offline channels were both owned by the same business entities. To the best of the authors’ knowledge, this study is the first to examine how online and offline channels belonging to different business entities can work together to increase customer intentions.
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Wang, Changyu, Jinming Mei, and Jiaojiao Feng. "Exploring influencing factors of offline knowledge service transactions on an online-to-offline knowledge-sharing economy platform." Journal of Knowledge Management 24, no. 8 (2020): 1777–95. http://dx.doi.org/10.1108/jkm-12-2019-0702.

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Purpose Online-to-offline (O2O) knowledge-sharing economy platforms have emerged as a new public channel for matching up knowledge providers with knowledge seekers. It can facilitate offline provision and consumption of high-quality tacit knowledge around a topic upon online search and payment (called offline knowledge service transaction). However, limited research investigated this new knowledge-sharing phenomenon in the field of knowledge management (KM). The purpose of this paper is to enrich KM literature by developing a theoretical model to explore determinants of offline knowledge service transactions via O2O knowledge-sharing economy platforms from both quality and price perspectives. Design/methodology/approach The model was tested with objective data crawled from Zaihang – a leading O2O knowledge-sharing economy platform in China. Findings The results show that, in the context of O2O knowledge-sharing economy, transactions of an offline knowledge service are positively related to its provider’s popularity, but negatively related to the price. Moreover, knowledge seekers are more likely to accept and purchase a high-priced service of a knowledge topic with a higher overall review score and supplied by a provider with lower popularity and shorter response time. However, the length of offline knowledge service has no significant association with its transactions. Originality/value This study contributes to KM literature through investigating a new phenomenon of tacit knowledge sharing (including provision and consumption) in the context of O2O service and the sharing economy. The results give implications for knowledge providers and platform managers to facilitate online transactions of offline knowledge services.
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Wan, Gan, Gang Kou, Tie Li, Feng Xiao, and Yang Chen. "Pricing Policies in a Retailer Stackelberg O2O Green Supply Chain." Sustainability 12, no. 8 (2020): 3236. http://dx.doi.org/10.3390/su12083236.

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Due to the popularization of the concept of “new retailing”, we study a new commercial model named O2O (online-to-offline), which is a good combination model of a direct channel and a traditional retail channel. We analyze an O2O supply chain in which manufacturers are responsible for making green products and selling them through both online and offline channels. The retailer is responsible for all online and offline channels’ orders, and the manufacturer gives the retailer a fixed fee. We construct a mathematical function model and analyze the greenness and pricing strategies of centralized and decentralized settings through the retailer Stackelberg game model. Due to the effects of the double marginalization of supply chain members, we adopt a simple contract to coordinate the green supply chain. The paper’s contributions are that we obtain pricing and greening strategies by taking the cooperation of offline channels and online channels into consideration under the O2O green supply chain environment.
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Lie, Yulius, Robertus Nugroho Perwiro Atmojo, and Hery Harjono Muljo. "The Effectiveness of O2O Strategy on E-Commerce Transactions." Winners 20, no. 1 (2019): 9. http://dx.doi.org/10.21512/tw.v20i1.5154.

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This research wanted to show the development of e-commerce transaction brought something new to organizations to accelerate their business through online sales. The presence of online marketplace also gave positive impacts for organizations to run online sales. It was undeniable that e-commerce positively contributes to people’s lives, besides the negative side that most people are still reluctant to use it. Online-to-offline (O2O) was a strategy to direct online users to do offline activities in physical stores. With O2O, customers could buy products from the store after researching online, paying online, and picking up product from the store. The research aimed to find out more about factors that influence consumer trust level to do a transaction in online media, as well as to measure the effectiveness of O2O strategy on e-commerce. Furthermore, this research used a quantitative correlation data analysis method on critical factors that influence customer decision in doing ecommerce transaction, with non-experimental research. The research outcome is the overview of the effectiveness feature and O2O strategy that is provided by the online shopping provider in giving a positive influence for consumers to make purchases in e-commerce. This research also reflects how the people respond to the existence of a marketplace that complements its place with O2O service.
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Wei, Feng, and Yan Zhu. "Self-Operated Store or Franchised Store? Optimal Decisions for Online-to-Offline Supply Chain with a Demand Shift." Mathematical Problems in Engineering 2020 (December 15, 2020): 1–15. http://dx.doi.org/10.1155/2020/8857424.

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Mutual shifts in offline and online demand have become the norm in supply chain operations. The online-to-offline (O2O) supply chain system consists of a platform vendor, a physical store, and a product. The platform vendor sells the product directly online and governs either the centralized decision-making of a self-operated store or the decentralized decision-making of a franchised store offline. In this study, supply chain decision models with and without demand shifts are constructed to obtain optimal wholesale and selling prices and to maximize profit. The coordination mechanism under decentralized decision-making is designed to optimize the O2O supply chain, and the validity and applicability of the model are verified by numerical simulation. Results show that, regardless of whether a store is self-operated or franchised, the total profit of the system increases, and online and offline prices depend on a range of demand shifts. With an increased proportion of online demand shifts, the offline selling price and total profit of the system increase, whereas the online selling price and profit of the platform vendor decrease under decentralized decision-making. When the fixed transfer payment fee is within a certain range, a two-part-tariff contract can effectively coordinate the supply chain. This study not only contributes to the theoretical literature on O2O supply chain systems but also provides practical decision-making support for managers.
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Hsieh, Jung-Kuei. "The role of customers in co-creating m-services in the O2O model." Journal of Service Management 28, no. 5 (2017): 866–83. http://dx.doi.org/10.1108/josm-03-2016-0062.

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Purpose The purpose of this paper is to investigate customer loyalty in the online-to-offline (O2O) model by conceptualizing and measuring emotion and cognition. Design/methodology/approach An online survey was used to collect 514 questionnaire responses. The data were analyzed using structural equation modeling. Findings Three emotional factors influence two cognitive factors, which in turn affect customer loyalty. The type of message source acts as a moderator. In addition to pleasure and arousal, dominance is a key factor of emotion. The effects of social enhancement and store environment on customer loyalty reflect the O2O model’s integration of online and offline environments. Practical implications The moderating role of the type of message source implies that marketers of brick-and-mortar stores can promote positive offline experiences to attract online customers and then encourage these customers to disseminate personal messages in their social circles. By attracting online customers through appealing m-services and retaining these customers through favorable store environments, marketers can maximize the utility of the O2O model. Originality/value Three emotional factors and two cognitive factors are conceptualized to predict customer loyalty in the O2O model. This study shows that the relationships between cognitive factors and customer loyalty are moderated by the type of message source. When check-in activity messages are sent by friends, the perception of social enhancement can lead to greater customer loyalty. In contrast, when check-in activity messages are sent by unfamiliar sources, customer loyalty is driven more by cognition of the store environment than by online interaction. The findings enrich existing knowledge of the O2O model and m-services, and have implications for researchers and marketers.
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Wang, Ou, Simon Somogyi, and Sylvain Charlebois. "Food choice in the e-commerce era." British Food Journal 122, no. 4 (2020): 1215–37. http://dx.doi.org/10.1108/bfj-09-2019-0682.

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PurposeThis study associated consumers' food choice motives and socio-demographic characteristics with their attitudes and consumptions towards food shopping with four e-commerce modes: business-to-consumer (B2C), online-to-offline delivery (O2O Delivery), online-to-offline in-store (O2O In-store) and New Retail. It also explored consumer preferences for specific food categories within the four e-commerce modes.Design/methodology/approachAn online survey was administered to 954 participants from three Chinese cities: Beijing, Shanghai and Shenzhen. Descriptive analysis and linear regression were used in the data analysis.FindingsThe following food choice motives (FCMs) and socio-demographic characteristics had a significant effect on food e-commerce attitudes and/or consumption, with some or all of the four e-commerce modes: Taste Appeal, Value for Money, Safety Concerns, Quality Concerns, Processed Convenience, Purchase Convenience, Others' Reviews, City, Gender, Household Size, Age, Income, Occupation and Marital Status. Consumers also have different consumption preferences for food categories in the four e-commerce modes.Originality/valueThis is the first study to associate consumer FCMs and socio-demographics with their e-commerce attitudes and consumption regarding food in four e-commerce modes: B2C, O2O Delivery, O2O In-store and New Retail.
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Dissertations / Theses on the topic "O2O (Online to Offline)"

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Yang, Ye. "The Influential Factors of Customer Experience in O2O E-commerce : A quantitative study of what affects Chinese customers’ experience in online travel industry under the O2O e-commerce context." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-67372.

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Background: The development of the O2O market in China has been increasingly growing and will remain a steady growth in 2017 (iiMedia Research, 2016), but it is still an ambiguous phenomenon in the academic world and lack of relevant research, especially the influential factors to customer experience in the O2O business model. Research question: What factors affect customer experience in China in the context of O2O business? Purpose: The primary objective of this paper is to examine the influential factors of the customer experience in the context of O2O context, especially to the Chinese customers in the online travel industry. The purpose is to contribute to theoretical development on this topic. Method: The research is a quantitative study with deductive reasoning which was carried out by the survey. The data collection was conducted through online questionnaires. Conclusion: The findings of this study show that all five variables (reference group influence, perceived ease-of-use, sensory experience, brand association and spatial accessibility) are positively influential to Chinese customer experience in the context of O2O business. Perceived ease-of-use and Sensory experience are the most dominant influential factors followed by the Reference group influence and Spatial accessibility. The Brand association impacts customer O2O experience least.
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Shuting, Wan. "A transformation of a garment company from offline to online - an analysis with solutions based on SWOT and Enterprise Modeling : A case study on a small traditional enterprise." Thesis, Högskolan Dalarna, Informatik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:du-34625.

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Chinese traditional garment enterprises not only have to face inventory and channel problems left over by history, but also encounter the influx of new online companies into the market, resulting in a significant decline in the turnover of the traditional garment industry. With the promotion of e-commerce, the economic development of the garment industry presents a new trend. In order to find new opportunities in the environment of increasingly fierce competition, traditional garment enterprises have embarked on the road of strategic transformation.This study takes a garment company DLD as the research subject and displays the primary information through the Business Model Canvas. A case study, therefore, is the research strategy applied in this study, and data are collected through interviews and questionnaires. The primary method of analyzing data is a combination of qualitative and quantitative analysis. The purpose of this study is to provide a useful reference for the enterprise in the transformation of e-commerce. SWOT analysis is conducted under the background information based on the Business Model Canvas, which demonstrates the strengths, weaknesses, opportunities, and threats encountered in the transformation process of its sales channel from offline to online. Combined with the Enterprise Modeling, this study summarizes the strategic transformation of the DLD company and proposes corresponding strategies and recommendations. Implementing the O2O e-commerce mode and the C2B business mode effectively reduces the product backlog and improves the company's competitiveness in the market. In the process of implementing these two modes, establishing a consumer database, unifying product prices, and establishing online and offline coordination teams are some practical methods for adjusting conflicts between sales channels and increasing product update rates. Besides, through the questionnaire, the recommendations proposed in this study are evaluated, two of which required further investigation and design.
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Bövik, Therese, and Lisa Pålsson. "Online going offline : Why online fashion retailers expand through an offline strategy." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-701.

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During the previous years there has been a lot of focus on e-commerce in the fashion and clothing industry and that everything will be bought online in the future. However, several e-commerce companies have decided to expand into offline retail. This dissimilarity between theory and reality creates an interest for further research and a curiosity of how the future within retail will develop. The purpose of this research is to understand why Swedish online fashion retailers expand through an offline strategy. An Expansion Theme Model, which emerged from the theoretical framework, is used throughout the research to create a cohesive presentation of the material. In this research two case studies were conducted with e-commerce companies that are moving towards offline retail, one that is planning to open their own offline store and the other that is selling to external offline retailers. The findings present the reasons for expanding into offline retail according to the respondents in the two cases. Two reasons that were discussed in both cases were to enhance the brand image and use offline retailing as a marketing tool to reach a larger customer group and ultimately enhance the company’s profit. The findings present several problems within each case that can be solved by expanding into offline retail. The first problem is about suppliers that protect offline retailers. The second problem is about how to reach the minimum quantities that the suppliers require. The third problem is how to achieve a better negotiation power with the suppliers. The fourth problem discusses the challenge of displaying products online. The view of the future within retail is also presented, where all of the respondents agreed that the two selling channels will be more integrated in the future. Finally, the transition towards offline retail creates many new possibilities in the world of retail that is yet undiscovered and it is therefore exciting to follow this development.
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Cuaranda, Gastón. "Marketing offline vs online." Bachelor's thesis, Universidad Nacional de Cuyo. Facultad de Ciencias Económicas, 2014. http://bdigital.uncu.edu.ar/6927.

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En este trabajo se analiza la sinergia actual entre marketing offline y online, y la evolución de dicha disciplina a lo largo de las últimas décadas. Además se pretende exponer un modelo de gestión de redes sociales, que sirva de base para futuras campañas integrales de marketing.<br>Fil: Cuaranda, Gastón. Universidad Nacional de Cuyo. Facultad de Ciencias Económicas.
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Asan, N. Evren. "Offline And Online Disk Scheduling Problems." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607909/index.pdf.

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This thesis considers the disk scheduling problem. The problem is investigated in two types of settings: offline and online. We first adopt the traveling salesman problem with time windows in the scheduling literature for solving the offline problem. Then we develop a decision epoch scheme in which offline problems are iteratively used in solving the online problem. We perform an experimental study for our approach and two well-known disk scheduling algorithms, and compare them according to several performance criteria.
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Yu, Ping Tate Stephen R. "Direct online/offline digital signatures schemes." [Denton, Tex.] : University of North Texas, 2008. http://digital.library.unt.edu/permalink/meta-dc-9717.

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Chen, Kathy F. (Kathy Fang-Yun). "Offline and online SVM performance analysis." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/41259.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.<br>Includes bibliographical references (p. 51-52).<br>To understand and evaluate the performance of a machine learning algorithm, the Support Vector Machine, this thesis compares the strengths and weaknesses between the offline and online SVM. The work includes the performance comparisons of SVMLight and LaSVM, with results of training time, number of support vectors, kernel evaluations, and test accuracies. Multiple datasets are experimented to cover a wide range of input data and training problems. Overall, the online LaSVM has trained with less time and returned comparable test accuracies than SVMLight. A general breakdown of the two algorithms and their computation efforts are included for detailed analysis.<br>by Kathy F. Chen.<br>M.Eng.
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Wang, Li Ph D. Massachusetts Institute of Technology. "Online and offline learning in operations." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129080.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, September, 2020<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 213-219).<br>With the rapid advancement of information technology and accelerated development of data science, the importance of integrating data into decision-making has never been stronger. In this thesis, we propose data-driven algorithms to incorporate learning from data in three operations problems, concerning both online learning and offline learning settings. First, we study a single product pricing problem with demand censoring in an offline data-driven setting. In this problem, a retailer is given a finite level of inventory, and faces a random demand that is price sensitive in a linear fashion with unknown parameters and distribution. Any unsatisfied demand is lost and unobservable. The retailer's objective is to use offline censored demand data to find an optimal price, maximizing her expected revenue with finite inventories.<br>We characterize an exact condition for the identifiability of near-optimal algorithms, and propose a data-driven algorithm that guarantees near-optimality in the identifiable case and approaches best-achievable optimality gap in the unidentifiable case. Next, we study the classic multi-period joint pricing and inventory control problem in an offline data-driven setting. We assume the demand functions and noise distributions are unknown, and propose a data-driven approximation algorithm, which uses offline demand data to solve the joint pricing and inventory control problem. We establish a polynomial sample complexity bound, the number of data samples needed to guarantee a near-optimal profit. A simulation study suggests that the data-driven algorithm solves the dynamic program effectively. Finally, we study an online learning problem for product selection in urban warehouses managed by fast-delivery retailers. We distill the problem into a semi-bandit model with linear generalization.<br>There are n products, each with a feature vector of dimension T. In each of the T periods, a retailer selects K products to offer, where T is much greater than T or b. We propose an online learning algorithm that iteratively shrinks the upper confidence bounds within each period. Compared to the standard UCB algorithm, we prove the new algorithm reduces the most dominant regret term by a factor of d, and experiments on datasets from Alibaba Group suggest it lowers the total regret by at least 10%..<br>by Li Wang.<br>Ph. D.<br>Ph.D. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center
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Yu, Ping. "Direct Online/Offline Digital Signature Schemes." Thesis, University of North Texas, 2008. https://digital.library.unt.edu/ark:/67531/metadc9717/.

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Online/offline signature schemes are useful in many situations, and two such scenarios are considered in this dissertation: bursty server authentication and embedded device authentication. In this dissertation, new techniques for online/offline signing are introduced, those are applied in a variety of ways for creating online/offline signature schemes, and five different online/offline signature schemes that are proved secure under a variety of models and assumptions are proposed. Two of the proposed five schemes have the best offline or best online performance of any currently known technique, and are particularly well-suited for the scenarios that are considered in this dissertation. To determine if the proposed schemes provide the expected practical improvements, a series of experiments were conducted comparing the proposed schemes with each other and with other state-of-the-art schemes in this area, both on a desktop class computer, and under AVR Studio, a simulation platform for an 8-bit processor that is popular for embedded systems. Under AVR Studio, the proposed SGE scheme using a typical key size for the embedded device authentication scenario, can complete the offline phase in about 24 seconds and then produce a signature (the online phase) in 15 milliseconds, which is the best offline performance of any known signature scheme that has been proven secure in the standard model. In the tests on a desktop class computer, the proposed SGS scheme, which has the best online performance and is designed for the bursty server authentication scenario, generated 469,109 signatures per second, and the Schnorr scheme (the next best scheme in terms of online performance) generated only 223,548 signatures. The experimental results demonstrate that the SGE and SGS schemes are the most efficient techniques for embedded device authentication and bursty server authentication, respectively.
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Woodley, Thomas Edward. "Visual tracking using offline and online learning." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608814.

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Books on the topic "O2O (Online to Offline)"

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Tan, Xian. O2O rong he: Da zao quan qu dao ying xiao he ji zhi ti yan = Online to offline. Ren min you dian chu ban she, 2015.

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Kreutzer, Ralf T. Kundendialog online und offline. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30119-4.

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Gentzkow, Matthew. Ideological segregation online and offline. National Bureau of Economic Research, 2010.

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Platt, Stephan. Von der Offline- zur Online-Kommunikation. Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81195-0.

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Roberts, Mary Lou. Internet marketing: Integrating online and offline strategies. 2nd ed. Thomson, 2008.

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Lauer, Karin. Strategische Preisgestaltung in Offline- und Online-Vertriebskanälen. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-22494-3.

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L, Zahay Debra, ed. Internet marketing: Integrating online and offline strategies. 3rd ed. South-Western Cengage Learning, 2012.

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Horst, Bunke, ed. Recognition of whiteboard notes: Online, offline and combination. World Scientific, 2008.

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Liwicki, Marcus. Recognition of whiteboard notes: Online, offline and combination. World Scientific, 2008.

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Ellison, Glenn. Internet retail demand: Taxes, geography, and online-offline competition. National Bureau of Economic Research, 2006.

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Book chapters on the topic "O2O (Online to Offline)"

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Kao, Griffin, Jessica Hong, Michael Perusse, and Weizhen Sheng. "Online to Offline (O2O)." In Turning Silicon into Gold. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5629-9_11.

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Zhu, Xiaoming, Bingying Song, Yingzi Ni, Yifan Ren, and Rui Li. "The O2O Model—From Online/Offline to the O2O Model." In Business Trends in the Digital Era. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1079-8_10.

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Lin, Cheng-Jhe, Tsai-Ting Lee, Chiuhsiang Lin, Yu-Chieh Huang, and Jing-Ming Chiu. "Establishing Interaction Specifications for Online-to-Offline (O2O) Service Systems." In Proceedings of the Institute of Industrial Engineers Asian Conference 2013. Springer Singapore, 2013. http://dx.doi.org/10.1007/978-981-4451-98-7_135.

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Stormer, Henrik. "Online-/Offline Shopping." In Wirtschaftsinformatik in Theorie und Praxis. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-17613-6_10.

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Griffith, Chris, and Leif Wells. "Online/Offline Detection." In Electron: From Beginner to Pro. Apress, 2017. http://dx.doi.org/10.1007/978-1-4842-2826-5_11.

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Bastos, Marco. "Online-offline coordination." In Spatializing Social Media. Routledge, 2021. http://dx.doi.org/10.4324/9780429354328-13.

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Barnes, Renee. "The Online/Offline Life." In Uncovering Online Commenting Culture. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70235-3_3.

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Hutter, Marcus. "Offline to Online Conversion." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11662-4_17.

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Holland, Heinrich. "Dialogmarketing – Offline und Online." In Digitales Dialogmarketing. Springer Fachmedien Wiesbaden, 2014. http://dx.doi.org/10.1007/978-3-658-08245-1_1.

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Zingales, Alice Cristina Jola. "Online/Offline Sharing Life." In Multidisciplinary Design of Sharing Services. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-78099-3_13.

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Conference papers on the topic "O2O (Online to Offline)"

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Wu, Zhong. "Online and Offline Collaborative Management in O2O Services." In Proceedings of the 3rd International Seminar on Education Innovation and Economic Management (SEIEM 2018). Atlantis Press, 2019. http://dx.doi.org/10.2991/seiem-18.2019.16.

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Peng, Hunyan, Yanlong Chen, and Hua Hu. "Research and Exploration of Online to Offline (O2O) Blended Teaching for Talent Cultivating." In 2020 International Conference on Advanced Education, Management and Information Technology (AEMIT 2020). Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200727.042.

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Hu, Yaoguang, Qiusheng Gu, Jingqian Wen, and Yue Tang. "A supplier selection and order allocation method for online to offline (O2O)e-commerce markets." In 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2017. http://dx.doi.org/10.1109/iciea.2017.8283050.

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Wu, Yun-Wu, Ming-Hui Wen, and Ci-Rong Sun. "An architectural design teaching strategy based on online-to-offline (O2O) integration and blended learning." In 2017 International Conference on Applied System Innovation (ICASI). IEEE, 2017. http://dx.doi.org/10.1109/icasi.2017.7988359.

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Sun, Yajuan. "Research on the O2O Mode and Corresponding Influences on the Online and Offline Internet Marketing." In 2016 2nd International Conference on Social Science and Technology Education (ICSSTE 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/icsste-16.2016.35.

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Ha, Sunju, Jisup Yoon, Seongbae Eun, Sun-sup So, Jinman Jung, and Young-Sun Yun. "Development of an O2O(offline to online) application case based on person wide web platform." In SAC 2016: Symposium on Applied Computing. ACM, 2016. http://dx.doi.org/10.1145/2851613.2852001.

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Zhu, Wen-Qiang. "A Novel O2O Teaching Model Using Mobile Social Network APP to Combine Online and Offline Teaching." In 2016 8th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2016. http://dx.doi.org/10.1109/itme.2016.0092.

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"Investigation on O2O Online Offline Mixed Teaching Model of Preschool Education under the Background of "Internet Plus Education"." In 2020 International Conference on Educational Science. Scholar Publishing Group, 2020. http://dx.doi.org/10.38007/proceedings.0000291.

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Hu, Ruofei, Giuseppe Fico, Cecilia Vera-Munoz, Fen Lan, and Maria Teresa Arredondo. "Definition of a online to offline (O2O) system to support the individualized management and treatment strategies for overall asthma control." In 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI). IEEE, 2017. http://dx.doi.org/10.1109/bhi.2017.7897249.

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Kazumori, Eiichiro. "Selling online versus offline." In the 4th ACM conference. ACM Press, 2003. http://dx.doi.org/10.1145/779928.779944.

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Reports on the topic "O2O (Online to Offline)"

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Gentzkow, Matthew, and Jesse Shapiro. Ideological Segregation Online and Offline. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w15916.

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Areti, H. Future microprocessor farms: Offline and online. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7020075.

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Bitter, Olivia Meredith, and Wesley Ketchum. Online and Offline Monitoring of the ICARUS Detector. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1599312.

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Ellison, Glenn, and Sara Fisher Ellison. Internet Retail Demand: Taxes, Geography, and Online-Offline Competition. National Bureau of Economic Research, 2006. http://dx.doi.org/10.3386/w12242.

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Gil-Clavel, Beatriz Sofía, Emilio Zagheni, and Valeria Bordone. Close social networks among older adults: the online and offline perspectives. Max Planck Institute for Demographic Research, 2020. http://dx.doi.org/10.4054/mpidr-wp-2020-035.

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Cavallo, Alberto. Are Online and Offline Prices Similar? Evidence from Large Multi-Channel Retailers. National Bureau of Economic Research, 2016. http://dx.doi.org/10.3386/w22142.

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Scrivens, Ryan, Steven M. Chermak, Joshua D. Freilich, Thomas W. Wojciechowski, and Richard Frank. Detecting Extremists Online: Examining Online Posting Behaviors of Violent and Non-Violent Right-Wing Extremists. RESOLVE Network, 2021. http://dx.doi.org/10.37805/pn2021.21.remve.

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Like most of us, violent extremists often leave a digital footprint behind. Researchers, practitioners, and policymakers raise questions about whether violent individuals can be identified online prior to their attacks offline based on their online posting behaviors. Despite ongoing concerns, few empirically grounded analyses have identified which online users have engaged in violent extremism offline and then assessed their digital footprints, and fewer analyses have identified differences in posting behaviors of those who share extreme ideological beliefs but are violent or non-violent in the offline world. This policy note highlights the importance of both identifying and examining the online behaviors of violent and non-violent extremists in preventing and countering violent extremism (P/CVE) and provides researchers, practitioners, and policymakers with a number of recommendations for detecting and analyzing the online behaviors of violent and non-violent extremists in the future.
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Freeman, Richard, and M. Marit Rehavi. Helping Workers Online and Offline: Innovations in Union and Worker Organization Using the Internet. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w13850.

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El Asmar, Francesca. Claiming and Reclaiming the Digital World as a Public Space: Experiences and insights from feminists in the Middle East and North Africa. Oxfam, 2020. http://dx.doi.org/10.21201/2020.6874.

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This paper seeks to highlight the experiences and aspirations of young women and feminist activists in the MENA region around digital spaces, safety and rights. It explores individual women’s experiences engaging with the digital world, the opportunities and challenges that women’s rights and feminist organizations find in these platforms, and the digital world as a space of resistance, despite restrictions on civic space. Drawing on interviews with feminist activists from the region, the paper sheds light on women’s online experiences and related offline risks, illustrates patterns and behaviours that prevailed during the COVID-19 pandemic.
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Długosz, Piotr, Liudmyla Kryvachuk, and Olena Shyyan. Praktyki społeczne w czasie pandemii covid-19 wśród polskiej i ukraińskiej młodzieży. Academicon Press, 2021. http://dx.doi.org/10.52097/acapress.9788362475582.

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Abstrakt: Raport prezentuje wyniki badań dotyczące polskich i ukraińskich uczniów przebywających w domach podczas lockdownu. Głównym celem badawczym była próba odpowiedzenia na pytanie o to, w jaki sposób sobie radzą uczniowie z zagrożeniem pandemią COVID-19, a także czy pojawiają się różnice między młodzieżą polską i ukraińską w zakresie stosunku do pandemii, dobrostanu psychologicznego, reakcji na zagrożenie, wykorzystywania internetu w kwarantannie, form spędzania czasu wolnego oraz oceny zdalnego nauczania i jego wpływu na szanse życiowe i edukacyjne. Badania w obu krajach zostały przeprowadzone za pomocą ankiety online. W Polsce zrealizowano badania na próbie 1768, a na Ukrainie na próbie 2291 respondentów. Wyniki badań pokazują, że młodzież jest zainteresowana problematyką pandemii, śledzi jej przebieg. Poziom obaw uczniów przed zarażeniem się koronawirusem jest niski. Młodzież cechuje się dobrostanem psychologicznym i preferuje aktywne strategie walki z zagrożeniem. Większość swojego czasu spędza w internecie. Wykorzystuje go głównie do zdalnej edukacji, komunikacji z rówieśnikami oraz rozrywki. W czasie offline uczniowie najczęściej słuchają muzyki, uprawiają aktywność fizyczną i spacerują po okolicy. Niewielka część respondentów angażuje się w pomoc seniorom. Negatywnie oceniają zdalne nauczanie i uważają, że kwarantanna nie wpłynie zbyt silnie na ich szanse życiowe.
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