This study investigated relationships among the market orientation of sharing economy business, marketing innovation, sustainable competitive advantage (SCA), and performance. Attempts are made to understand market orientation from cultural and behavioral perspectives to accelerate marketing innovation and identify measures for SCA and performance building. Frequency, reliability, validity, fitness, and path analyses were performed on 400 respondents, and a structural model was used. The results are as follows. First, functional coordination of the cultural market orientation of sharing economy business with consumer orientation significantly affected product innovation, but competitive orientation’s effect on product innovation was not significant. Competitive orientation and functional coordination significantly affected communication innovation, but consumer orientation’s effect on communication innovation was not significant. Second, market information generation and response to market information of behavioral market orientation of sharing economy business significantly influenced product innovation, but market information exchange’s influence on product innovation was not significant. Even though market information exchange and response to market information had a significant influence on communication innovation, the influence of market information generation on communication innovation was not significant. Third, both product and communication innovation of the marketing innovation of sharing economy business significantly influenced SCA. Fourth, the SCA of sharing economy business significantly influenced market dominating power.
This study aimed to identify strategy characteristics for sustainable competitive advantage in businesses utilizing the sharing economy (SE) and to investigate whether such strategy characteristics are related to creating shared value (CSV) and performance. A total of 631 participants who had used goods and services of SE businesses were selected as the unit of analysis in reference to the components of business-to-peer (B2P) and peer-to-peer (P2P) SE business models. Reliability, validity, and goodness-of-fit tests and path analysis were performed using SPSS and AMOS statistical packages. The following results were obtained. First, regarding the relationship between strategy characteristics for sustainable competitive advantage and “social congruence,” which is related to creating shared value, this variable was significantly influenced by “value network” in the B2P model and “strategic innovation” and “strategic resources” in the P2P model. Second, regarding relationship with the aforementioned strategy characteristics and “value of information sharing,” the latter variable was significantly influenced by “moment of truth,” “strategic innovation,” and “value network” in the B2P model, and “moment of truth,” “strategic resources,” and “value network” in the P2P model. Third, regarding the relationship among variables related to CSV and their contribution to performance, “social value congruence” was affected by “value of information sharing,” and these variables had significant effects on “value of participation” in both models. Only “value of participation” made a significant contribution to “performance.”
This study assessed relationship characteristics and social capital from the perspective of interdependent linkage between sharing economy businesses and consumers, which can create the social network and relationship competitive advantage. It verified the importance of the creative production process of the value network of sharing economy businesses. For this purpose, the statistical techniques were used to perform frequency, reliability/validity, suitability, and path analyses on 522 subjects active in sharing economy service communities. A structural model was thus proposed. The results of the study are as follows. First, the results of the path analysis between the relationship characteristics and social network (social relationships, social commitment) of sharing economy businesses showed that mutual influence and emotional connection had a significant effect on social relationships, and mutual influence, sense of belonging, and emotional connection had a significant effect on social commitment. Second, the results of the path analysis between social capital and social network (social relationships, social commitment) of sharing economy businesses showed that pursuit for self-fulfillment, social participation, and pleasure had a significant effect on social commitment. Third, the results of the path analysis between the social relationships, social commitment, relationship competitive advantage, and continuance commitment of sharing economy businesses showed that social relationships and social commitment had a significant effect on relationship competitive advantage, while relationship competitive advantage had a significant effect on continuance commitment.
This study presents a model integrating research on mobile social network services (SNS) and word-of-mouth (WOM) by examining the sustainable diffusion of fashion information via multidimensional effect factors, including the social relationship and sub-network structure characteristics of SNS. Implications for expanded research scope and methods are generated by applying social network analysis to information diffusion on friends-based SNS for sustainable development, which is connected to the social cascade phenomenon. This study investigates the relationship between the social network characteristics of subscribers and the sub-network structure characteristics of friends-based SNS and examines the effect of sub-network structure characteristics on fad-like behavior and WOM. We examine 311 people with experience in fashion information activities using friends-based SNS services for data analysis and perform frequency analysis, reliability and validity analysis, measurement model analysis, and path analysis using SPSS 20.0 and AMOS 20.0. This study furthers our theoretical and practical understanding of the network extension pattern in fashion information diffusion in mobile friends-based SNS. The study also points out the need for community network management and identifies the key factors in friends-based SNS, thus providing strategic guidelines for spreading fashion information effectively.
The advances in technology have enabled us to share information, process data transactions, and enhance collaborations with relevant entities effectively. Its unparalleled adoption in both the public and private sectors is raising heightened concerns, particularly in the areas of the collection and management of personal information. The use of personal information can provide great benefits, including improved services for customers and increased revenues and decreased costs for businesses. However, it has also raised important issues such as the misuse of their personal information and loss of privacy. In this paper, we propose a framework to preserve privacy in new Public Metro Transit Systems that incorporates smartcard-based payment systems. The proposed framework leverages cryptographic protocols and an innovative privacy model to ensure the protection of privacy information of the cardholders. We also overview our system architecture for the proposed framework including case learned.
Sharing economy businesses need to increase the value of service effectiveness through the efficiency of their core resources and capabilities, and the effectiveness and efficiency-based services can achieve high results through business competitive advantage. Therefore, this study identifies the need for core resource and competence characteristics, both concepts are approachable from the competitive advantage and resource-based perspectives of the sharing economy business, and it also presents a comprehensive structural model of the shared value creation, distinctive competitive advantage, and behavior intention of the sharing economy business through these concepts. For this purpose, data were collected by survey questionnaires, and a preliminary survey (50 persons) as a pretest and the main survey (550 persons) were conducted and 534 experienced consumers were finally used for data analysis. For the data analysis method, frequency, reliability/validity, model-fit, and path analyses were conducted. The results of the study are the following. First, visibility, inimitability, and asymmetry of the core resources of sharing economy business have a significant effect on shared value. Additionally, while inimitability and asymmetry have a significant effect on distinctive competitive advantage. Second, the integration and internalization of core abilities of sharing economy services have a significant effect on shared value. However, externalization and internalization have a significant effect on distinctive competitive advantage. Finally, the shared values of sharing economy business have a significant effect on distinctive competitive advantage, shared value has a significant effect on behavior intention, and distinctive competitive advantage has a significant effect on behavior intention. Through the importance of managing strategic factors for these shared values and distinctive competitive advantages, this study is aimed at the development of core resources and dynamic ability leading to achievement that is expected to be a systematic academic basis for environmental impact information of sharing economy business.
Abstract:In supply chain management, selecting the right supplier is one of the most important decision-making processes for improving corporate competitiveness. In particular, when a buyer considers selecting multiple suppliers, one should consider the issue of order allocation with supplier selection. In this article, an interactive multiobjective optimization approach is proposed for the supplier selection and order allocation problem. Also, the concept of desirability is incorporated into the optimization model to take into account the principles of diminishing marginal utility. The results are presented by comparing them with the solutions from the weighting methods. This study shows the advantage of the proposed method in that the decision-maker directly checks the degree of desirability and learns his/her preference structure through improved solutions.
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