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This study explores the influencing factors on organizational efficiency of the smart logistics ecological chain, and designs the corresponding theoretical framework to guide the practice of enterprises

A multi-case study method is adopted in this study. It includes four companies A, B, C and D in China as the case study objects, collects data through enterprise survey and uses the combination of open coding and spindle coding to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, organizational efficiency in smart logistics ecological chains is directly related to their service and technology innovation capability. Second, symbiotic relationships, information sharing and customer demand affect the efficiency of smart logistics multi-case ecological chains by influencing their service capacity; their technological innovation capability regulates the mechanism of influence. Third, technological innovation in smart logistics ecological chains positively impacts their service capabilities. Improving technological innovation capability can enhance logistics service capabilities.

According to the characteristics of smart logistics, the theoretical framework about organizational efficiency of smart logistics ecological chain is constructed, which fills the research gap and can provide interesting perspectives for the future research related to the smart logistics ecological chain. At the same time, the findings can also help enterprises to better build the smart logistics ecological chain in practice.

This study explores the influencing factors of smart logistics ecological chain's (SLEC's) organizational collaboration and designs a corresponding conceptual framework.

The multi-case study is applied to this paper. Specifically, this study is a combination of exploratory and explanatory case studies.

The findings are threefold. First, empowerment capability and the information-sharing level are unique factors that affect SLEC's organizational collaboration. Second, greater empowerment capability stimulates the increase of information-sharing level. Third, emerging digital technology, personalized demand and peer competition affect the degree of SLEC's organizational collaboration through an intermediary variable – empowerment capability. Specifically, the emerging digital technology application and peer competition degrees have positive effects on empowerment capability, while the demand personalization degree negatively (positively) affects empowerment capability in the short (long) term.

As an important part of supply chain performance, organizational collaboration is receiving more attention. However, in the smart economy context, no theoretical framework exists for analyzing factors that affect the organizational collaboration degree of SLEC. This study fills this gap.

The purpose of this paper is to present a new tool, business network information ecological chain (BNIEC) aiming to solve the current information problems in business network, make more profits to business websites and to maintain the sustainable development of the business network environment in Internet of Things (IoT) era.

From multi-disciplinary perspectives, learning from the knowledge in information ecology, economics, the IoT and system theory, this paper first analyzes the positioning of BNIEC in different subjects. Second, it proposes the definition, components and characteristics of BNIEC and designs the BNIEC concept map helping to understand the BNIEC system. Last, this paper builds the structural model and the information flow models of BNIEC.

The study first presents the concept of BNIEC and based on the trans-disciplinary point of view, builds the structure model of BNIEC from three aspects: nodes, relations among nodes and link modes and illustrates the model using the knowledge from the system theory. Also, it builds two kinds of the information flow models by the related information knowledge in IoT.

This paper aims to introduce not only a new tool but an ecological idea to business network companies, to create a pleasant network environment, more than that, to make more benefits for themselves. Meanwhile, it has important significance in the sustainable development of the business network environment, business websites, business network information resources and information technology. Especially in today’s IoT era, it shows an ecological thinking to solve the information problems in business network that we may face in the future.

The purpose of this study is to analyze the factors of the mobile library users’ attitude and behavioral intention from the perspective of information ecology. The research results could serve as a reference for the improvement of the mobile library services.

A model was constructed of the mobile library users’ attitude and behavioral intention with three external variables, namely, information quality, information environment and information technology, abstracted from the theory of information ecology. The influences of the three ecological factors were explored with empirical research and structural equation model.

Results showed that information quality, information environment and information technology had positive and significant effects on users’ attitude, among which the influence coefficient of information environment was the largest. Information technology and users’ attitude had positive and significant effects on the behavioral intention of users. This new theoretical perspective for research on the users’ mobile library behavior might have a positive role in promoting the development of mobile libraries.

This study suggests that the mobile library can improve the service mode in three aspects, namely, information quality, information environment and information technology to enhance the intention to use.

A theoretical model of the mobile library users’ behavioral intention is constructed from the perspective of information ecology. It can not only provide solid theoretical guidance for research on mobile libraries but also broaden the application of information ecology theory.

The purpose of this paper is to conduct a dual-level (organizational and individual user) analysis of development related to the Internet of Medical Things (IoMT). It examines the organizational dynamics of IoMT and develops a conceptual model for quality of experience (QoE) in user acceptance.

This study uses the information systems success model of quality factor as an analytical framework and extends it beyond the individual user experience (UX) to include an organization-level perspective. Interviews are conducted with relevant stakeholders for sociotechnical inquiries; a survey identifies user factors in IoMT.

The sociotechnical analysis sheds light on how IoMT has been accepted and stabilized in the healthcare sector. It shows the complex interaction between the social and technical aspects of IoMT by highlighting the co-evolution, interaction, and interface of devices that constitute the next-generation network environment. The UX model conceptualizes QoE specific to medical informatics.

Given the sociotechnical nature of this investigation, another approach to adoption of IoMT innovations was worth investigating to determine effective integration.

IoMT needs to be meaningful if they are to be sustainable and they need to offer quality of services and QoE no matter the location or demographic in which they are used.

With a dual-level analysis, the study provides a comprehensive view of the IoMT development process by investigating the organizational dynamics, in addition to the UX, of IoMT. The results provide a basis for developing future IoMT services with QoE requirements, as well as for clarifying sociotechnical dynamics.

The purpose of this paper is to develop an Internet of medical things (IoMT)-based geriatric care management system (I-GCMS), integrating IoMT and case-based reasoning (CBR) in order to deal with the global concerns of the increasing demand for elderly care service in nursing homes.

The I-GCMS is developed under the IoMT environment to collect real-time biometric data for total health monitoring. When the health of an elderly deteriorates, the CBR is used to revise and generate the customized care plan, and hence support and improve the geriatric care management (GCM) service in nursing homes.

A case study is conducted in a nursing home in Taiwan to evaluate the performance of the I-GCMS. Under the IoMT environment, the time saving in executing total health monitoring helps improve the daily operation effectiveness and efficiency. In addition, the proposed system helps leverage a proactive approach in modifying the content of a care plan in response to the change of health status of elderly.

Considering the needs for demanding and accurate healthcare services, this is the first time that IoMT and CBR technologies have been integrated in the field of GCM. This paper illustrates how to seamlessly connect various sensors to capture real-time biometric data to the I-GCMS platform for responsively supporting decision making in the care plan modification processes. With the aid of I-GCMS, the efficiency in executing the daily routine processes and the quality of healthcare services can be improved.

This paper aims to know the interest of leading small- and medium-sized enterprises (SMEs) of Y generation in Surabaya City using mobile commerce, identify the effort that has been done by the leading SMEs actors of Y generation in Surabaya City to expand its business network by using mobile commerce, and analyze the success rate of the use of mobile commerce to expand the business network of leading SMEs of Y generation in Surabaya City.

This research is designed using qualitative method. The research is directed more toward a research with phenomenological approach because the research also gives the description related to the phenomena in the field to the actor of SMEs and Disperdagin of Surabaya City. The researcher picks Surabaya City as the location by considering the following: the number of SMEs in the Surabaya city is greater than any other cities in East Java considering that Surabaya is the capital of East Java. The number of SMEs is 37,906 units; it means that Surabaya is a city with high economic activity and this place is also the largest trading city after Jakarta. Based on the number of SMEs mentioned above, in this research, only leading SMEs are taken amounted to 161 leading SMEs in the Surabaya City. Information or technological exchange and development are faster compared to other cities because most of the community living in this city uses information technology in running their business.

SME actors in Surabaya city have high interest in using m-commerce. In expanding the network, the SME actors use online media. The SME actors in Surabaya have successfully expanded the business network through online marketing by using m-commerce to overseas including Germany, France, South Korea and the UK. Effective model is needed for the policy in Surabaya city is Disperdagin has its own website to overshadow all SMEs in Surabaya City, and identify the role of Disperdagin to SME or vice versa, and clustering SMEs in Surabaya such as cluster of handicraft and Food and Beverage (MAMIN). Factors that are the advantages of using m-commerce are wider business network; increasing sales; adding resellers and buyers; smooth business transaction; development of product innovation, process and marketing; the facilities provided by the government; and easy to use m-commerce application.

This is one of few papers that study the interest of SMEs actor in using mobile commerce in effort to expand business network. The use of m-commerce will grow the business capability of SMEs, thus increasing the role of SMEs as the counterweight to the structure of the national economy. Therefore, the government policy related to the use of e-commerce and m-commerce is very important to be socialized to business actors, especially the SMEs.

The wider use of Internet of Things (IoT) makes it possible to create smart cities. The purpose of this paper is to identify key IoT challenges and understand the relationship between these challenges to support the development of smart cities.

Challenges were identified using literature review, and prioritised and elaborated by experts. The contextual interactions between the identified challenges and their importance were determined using Interpretive Structural Modelling (ISM). To interrelate the identified challenges and promote IoT in the context of smart cities, the dynamics of interactions of these challenges were analysed using an integrated Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC)-ISM approach. MICMAC is a structured approach to categorise variables according to their driving power and dependence.

Security and privacy, business models, data quality, scalability, complexity and governance were found to have strong driving power and so are key challenges to be addressed in sustainable cities projects. The main driving challenges are complexity and lack of IoT governance. IoT adoption and implementation should therefore focus on breaking down complexity in manageable parts, supported by a governance structure.

This research can help smart city developers in addressing challenges in a phase-wise approach by first ensuring solid foundations and thereafter developing other aspects.

A contribution originates from the integrated MICMAC-ISM approach. ISM is a technique used to identify contextual relationships among definite elements, whereas MICMAC facilitates the classification of challenges based on their driving and dependence power. The other contribution originates from creating an overview of challenges and theorising the contextual relationships and dependencies among the challenges.

The purpose of this paper is to propose a framework of value co-creation in platform ecological circle for cold chain logistics enterprises to guide the transformation and development of cold chain logistics industry.

This paper establishes a conceptual framework for the research on the platform ecological circle in cold chain logistics, utilizes a structural equation model to investigate the influencing factors of the value co-creation of the platform ecological circle in the cold chain logistics enterprises and elaborates the internal relations between different influencing factors regarding the value co-creation and enterprises’ performance.

Results show that resource sharing in logistics platform ecological circle can stimulate the interaction among enterprises and this produces a positive influence on their dynamic capabilities, which, in turn, affects the they to work together to plan, implement and solve problems, so as to achieve the goal of improving enterprise performance.

The shared resources and value co-creation activities in the platform ecological circle are very important for the transformation and development of cold chain logistics enterprises. Therefore, enterprises should promote value co-creation through realizing resource sharing and creating a win-win cooperation mechanism.

This paper targets at incorporating the resource sharing in platform ecological circle for cold chain logistics enterprises, explores from an empirical perspective the role of the resource sharing in cold chain logistics enterprises in enhancing the dynamic capabilities of enterprises, thereby encouraging the value co-creation behavior, and ultimately boosts enterprise performance and stimulates business development.