How do consumers choose offline shops on online platforms? An investigation of interactive consumer decision processing in diagnosis-and-cure markets

PURPOSE: The purpose of this paper is twofold: (1) to understand the process and consequences of the two-way communication between consumers and businesses on online-to-offline (O2O) diagnosis-and-cure services platforms and (2) to examine how consumer request-specific factors and service quote-specific factors influence consumer decisions in the interactive marketing context. DESIGN/METHODOLOGY/APPROACH: The study analyzes a dataset of 17,878 service requests and 57,867 price quotes obtained from an O2O platform bridging consumers and automotive repair shops. On the platform, consumers request service quotes by uploading the description of automotive damage and multiple service providers suggest price quotes. The authors formulated a logit model to examine consumer decisions of responding service quotes. FINDINGS: This paper finds that (1) consumers receiving more severe diagnostic results are more likely to respond to the price quotes, and (2) diagnostic severity and inconsistency moderate the impacts of geographic distance, shop size, and quote price on consumers' responses to the service quotes. RESEARCH LIMITATIONS/IMPLICATIONS: This paper fills the gap in the literature by advancing the consumer decision processing model to address the interactive shopping experience on O2O diagnosis-and-cure services platforms. The findings are limited by the data and the research context. PRACTICAL IMPLICATIONS: For marketing practitioners, the empirical results imply specific positioning and targeting strategies for markets with informational and geographic barriers to expand the market scope and customer base. ORIGINALITY/VALUE: The present work is the first to examine the consumer decision process on O2O diagnosis-and-cure service platforms. It adds value to the literature by investigating how consumers update their problem awareness through the service request-specific factors (i.e. diagnostic severity and diagnostic inconsistency) and how the request-specific factors moderate the impacts of the quote-specific factors (i.e. shop distance, shop size and quote price) on consumers' responses to price quote. The conceptual model and empirical findings provide theoretical and practical values for e-commerce researchers and practitioners.Accepted manuscrip

Customers' intention towards O2O food delivery service under the different characteristic of customer group – a case study of Suzhou Industrial Park

Two research questions are identified and discussed. Relevant factors that influence the customer preferences were selected as research objects, data collection was based on 348 valid questionnaires, SPSS software was used for data analysis by the means of the multivariate logistic research model. Customer intentions include delivery payment, delivery time, food quality and brand trust. Customer reviews are related to customer preferences. The delivery payment is the most important factor when customers use food delivery service, but different groups of people have different tendency compared with their counterparts. All variables are designed based on baseline categories; the outcome of the model is only significant while comparing two groups of variables. Multivariate logistic research model is used to find customer preferences under the different characteristic of customer groups based on questionnaires and tries to forecast the possibility of the tendency of one targeting customer group in Suzhou Industrial Park. This research conduct a questionnaire on the Suzhou industry park, the respondents are mainly students and white collars customers, the characteristics of respondents are typical in this area

The evolution of platform business models: Exploring competitive battles in the world of platforms

In recent decades, multi-sided platform business models have become an important avenue for value creation and capture, but the phenomenon itself remains under-theorized. We address this gap and present new, empirically-driven insights into how platform business models evolve in a context of fierce competition. Through a longitudinal, qualitative study of twelve multi-sided platforms that operate under challenging industry conditions, we discover that success in platform battles can plausibly be explained by a combination of complexity in the business model design, and the simultaneous use of innovation and imitation to create highly intricate systems of activities. We further discuss how our findings open several new avenues for future platform research

Coopetitive Service Innovation in Mobile Payment Ecosystems

Mobile payments are a new way to pay in the digital era. The emerging mobile payment platforms and services enable viable businesses through exchanges of value between consumers and collaborating actors in a real-time and context-specific way. However, business interactions in mobile payment markets are reected in a highly dynamic market structure that requires coopetition (simultaneous competition and collaboration) between the participants in the markets. This dissertation studies how mobile payment solutions are innovated in business networks. The focus is on the coopetitive service innovation in mobile payment ecosystems. The first investigation is a comparison of mobile payment service innovation in the Finnish and Chinese markets. This investigation shows that the interindustry cooperation happens in both markets to facilitate the effective realization of mobile payment solutions. The findings show differences in the providers' strategic positions. An empirical study on consumer adoption emphasizes the importance of interfirm collaboration in the mobile payment supply chain. The following case studies address Bestpay, Alipay, UnionPay, Elisa Wallet, and Apple Pay. These studies result in three theoretical models for managing firms' coopetition in a digital business ecosystem. The RISE model (Resources - Inter-/Self-organizational innovation - Ecosystem) can be used to identify the win-win relationships in interfirm co-innovation. The DISCO model (Dynamics of Innovation Strategy in Coopetitive Environment) helps a company to adjust its strategic positioning in a coopetitive environment. The COIN model (Coopetitive Innovation) introduces the Consumer Matrix, the Business Matrix, and the Resource Matrix. These help companies to recognize their resource advantages: superior vs. inferior, and heterogeneous vs. homogeneous. In addition to the theoretical contribution, the models help firms to identify and define their business relations in service innovation ecosystems. Overall, this dissertation contributes to the understanding of mobile payment service innovations in digital ecosystems for managing coopetition.

Coopetitive Service Innovation in Mobile Payment Ecosystems

Mobile payments are a new way to pay in the digital era. The emerging mobile payment platforms and services enable viable businesses through exchanges of value between consumers and collaborating actors in a real-time and context-specific way. However, business interactions in mobile payment markets are reected in a highly dynamic market structure that requires coopetition (simultaneous competition and collaboration) between the participants in the markets. This dissertation studies how mobile payment solutions are innovated in business networks. The focus is on the coopetitive service innovation in mobile payment ecosystems. The first investigation is a comparison of mobile payment service innovation in the Finnish and Chinese markets. This investigation shows that the interindustry cooperation happens in both markets to facilitate the effective realization of mobile payment solutions. The findings show differences in the providers' strategic positions. An empirical study on consumer adoption emphasizes the importance of interfirm collaboration in the mobile payment supply chain. The following case studies address Bestpay, Alipay, UnionPay, Elisa Wallet, and Apple Pay. These studies result in three theoretical models for managing firms' coopetition in a digital business ecosystem. The RISE model (Resources - Inter-/Self-organizational innovation - Ecosystem) can be used to identify the win-win relationships in interfirm co-innovation. The DISCO model (Dynamics of Innovation Strategy in Coopetitive Environment) helps a company to adjust its strategic positioning in a coopetitive environment. The COIN model (Coopetitive Innovation) introduces the Consumer Matrix, the Business Matrix, and the Resource Matrix. These help companies to recognize their resource advantages: superior vs. inferior, and heterogeneous vs. homogeneous. In addition to the theoretical contribution, the models help firms to identify and define their business relations in service innovation ecosystems. Overall, this dissertation contributes to the understanding of mobile payment service innovations in digital ecosystems for managing coopetition.

The Anesthesia Continuing Education Market and the Value Creation From a Sustainable Unified Platform

Practicing anesthesia professionals in the United States are all governed by various profession-specific regulatory bodies that mandate continuing education (CE) requirements. To date, no unified resource exists for anesthesia professionals (i.e., Anesthesiologists, Certified Registered Nurse Anesthetists, and Anesthesiologist Assistants) to explore the CE offerings available within the marketplace. This study endeavored to convey the potential value of a unified anesthesia CE resource. It investigated how to cultivate a sustainable platform to potentially improve how anesthesia professionals search available CE offerings and to potentially enhance how anesthesia CE providers reach anesthesia professionals. This qualitative study was conducted utilizing an integrative review of the literature. The key concepts identified and investigated were network effect, segmentation, first to market, best of breed, search costs, transaction costs, minimally viable product, evolutionary phases of platforms, platform theory, platform business model, platform economy, and types of platforms. Inductive content analysis was chosen as the organizational method for the resultant qualitative data. The goal of the analysis was to create a conceptual, practical, and strategically applicable platform paradigm for the anesthesia CE marketplace driven by the insights and amalgamations from the literature. The analyzed concepts, dimensions, and indicators of platform successes and their applications potentially facilitate anesthesia professionals’ CE explorations and CE providers’ marketing efforts, as well as contextualize the overarching impacts and implications onto the anesthesia CE industry and beyond. The conclusion portrays these impacts and implications

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective

With the mutual interaction and dependence of several intelligent services, a crowd intelligence service network has been formed, and a service ecosystem has gradually emerged. Such a development produces an ever-increasing effect on our lives and the functioning of the whole society. These facts call for research on these phenomena with a new theory or perspective, including what a smart society looks like, how it functions and evolves, and where its boundaries and challenges are. However, the research on service ecosystems is distributed in many disciplines and fields, including computer science, artificial intelligence, complex theory, social network, biological ecosystem, and network economics, and there is still no unified research framework. The researchers always have a restricted view of the research process. Under this context, this paper summarizes the research status and future developments of service ecosystems, including their conceptual origin, evolutionary logic, research topic and scale, challenges, and opportunities. We hope to provide a roadmap for the research in this field and promote sound development

Sharing Economy Platform Firms and Their Resource Orchestration Approaches in Emerging Markets

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Modern Perspectives in Business Applications

This book is unique! Until now, purchasing and supply management books have had a primarily domestic outlook. However in this book, important issues related to sales management and supply management are handled with a modern perspective. This book has global vision tied into management principles based on an understanding of the sales management and basic job of purchasing and supply management, as all authors have held high-level positions directing the effort. Distinguished researchers from prestigious universities have written chapters and case studies from real-world events that challenge the brightest minds

Ecosystem synergies, change and orchestration

This thesis investigates ecosystem synergies, change, and orchestration. The research topics are motivated by my curiosity, a fragmented research landscape, theoretical gaps, and new phenomena that challenge extant theories. To address these motivators, I conduct literature reviews to organise existing studies and identify their limited assumptions in light of new phenomena. Empirically, I adopt a case study method with abductive reasoning for a longitudinal analysis of the Alibaba ecosystem from 1999 to 2020. My findings provide an integrated and updated conceptualisation of ecosystem synergies that comprises three distinctive but interrelated components: 1) stack and integrate generic resources for efficiency and optimisation, 2) empower generative changes for variety and evolvability, and 3) govern tensions for sustainable growth. Theoretically grounded and empirically refined, this new conceptualisation helps us better understand the unique synergies of ecosystems that differ from those of alternative collective organisations and explain the forces that drive voluntary participation for value co-creation. Regarding ecosystem change, I find a duality relationship between intentionality and emergence and develop a phasic model of ecosystem sustainable growth with internal and external drivers. This new understanding challenges and extends prior discussions on their dominant dualism view, focus on partial drivers, and taken-for-granted lifecycle model. I propose that ecosystem orchestration involves systematic coordination of technological, adoption, internal, and institutional activities and is driven by long-term visions and adjusted by re-visioning. My analysis reveals internal orchestration's important role (re-envisioning, piloting, and organisation architectural reconfiguring), the synergy and system principles in designing adoption activities, and the expanding arena of institutional activities. Finally, building on the above findings, I reconceptualise ecosystems and ecosystem sustainable growth to highlight multi-stakeholder value creation, inclusivity, long-term orientation and interpretative approach. The thesis ends with discussing the implications for practice, policy, and future research.Open Acces