The Jingpo ethnic minority is located almost entirely in Dehong Prefecture in the west of Yunnan. This prefecture borders Myanmar, shares a number of natural characteristics with…
Abstract
The Jingpo ethnic minority is located almost entirely in Dehong Prefecture in the west of Yunnan. This prefecture borders Myanmar, shares a number of natural characteristics with it, and is dissected by rivers which form the upper reaches of the Irrawaddy River. Its climate is influenced by monsoons originating in the Indian Ocean. The total population of this minority is about 118,000 and they are mainly located in hilly areas. This paper examines the rural economy of the Jingpo people, traditional factors influencing their management of local forest resources such as their religious beliefs, and local means of governance. The Jingpo people possess valuable indigenous knowledge about their local forest resources which should be taken into account in the quest for the sustainable economic development of this community. Today, slash‐and‐burn agriculture is causing economic sustainability problems for the Jingpo. In addition, land ownership problems and conflicts about property rights threaten their conservation of forests and entail economic sustainability problems as explained in this paper. Whether or not improved access to markets and the use of more productive techniques will relieve the situation and reduce poverty among the Jingpo remains to be seen. Currently, the incidence of poverty among the Jingpo is high, they obtain little education and pursue mainly a subsistence lifestyle. This situation is not dissimilar from that for many hill tribes in parts of India and in Southeast Asia.
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Tian Hongyun, Jan Muhammad Sohu, Asad Ullah Khan, Ikramuddin Junejo, Sonia Najam Shaikh, Sadaf Akhtar and Muhammad Bilal
In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium…
Abstract
Purpose
In this digital age, the rapid technological innovation and adoption, with the increasing use of big data analytics, has raised concerns about the ability of small and medium enterprises (SMEs) to sustain the competition and innovation performance (IP). To narrow the research gap, this paper investigates the role of big data analytics capability (BDAC) in moderating the relationship between digital innovation (DI) and SME innovation performance.
Design/methodology/approach
This research has been carried forward through a detailed theory and literature analysis. Data were analyzed through confirmatory factor analysis and structural equation models using a two-stage approach in smartPLS-4.
Findings
Results highlight that digital service capability (DSC) significantly mediates the relationship between DI and IP. Additionally, value co-creation (VCC) directly affects digital transformation (DT), while DI has a stronger effect on DSC than IP. Furthermore, BDAC significantly moderates the relation between DSC → IP and DT → IP, whereas it has a detrimental effect on the relation between DI and IP. In addition to that, VCC, DSC, DT, DI and BDAC have a direct, significant and positive effect on IP.
Practical implications
This research was motivated by the practical relevance of supporting SMEs in adopting DT and the resource-based view (RBV) and technology acceptance model (TAM). This study shows that all direct and indirect measures significantly affect innovation performance, including BDAC as moderator. These findings refresh the perspective on what DT, DI, VCC, DSC and BDAC can bring to a firm's innovation performance.
Originality/value
This paper has contributed to DT by empirically validating a theoretical argument that suggests the acceptance and adoption of new technology. This paper aims to fill theoretical gaps in understanding BDAC and DT by incorporating the RBV and TAM theories on BDAC and DT.
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Shahnawaz Muhammed and Halil Zaim
This study aims to focus on a particular type of intra-organizational knowledge sharing that is referred to as peer knowledge sharing. This paper examines how peer knowledge…
Abstract
Purpose
This study aims to focus on a particular type of intra-organizational knowledge sharing that is referred to as peer knowledge sharing. This paper examines how peer knowledge sharing impacts firms’ financial and innovation performance, and the mechanism through which such a relationship is realized. The study also evaluates the extent to which leadership support acts as a key antecedent to peer knowledge sharing.
Design/methodology/approach
Drawing on social capital theory and a knowledge-based view of firms, a theoretical model and related hypotheses are presented for testing. A survey design methodology is used to collect data and test the model. Structural equation modeling is used to test the hypothesized relationships based on data collected from 330 knowledge workers in various service-based organizations in Turkey.
Findings
The results indicate that the extent of employees’ engagement in knowledge sharing behavior with their peers and their managers’ leadership support exert a positive impact on organizations’ knowledge management success, which, in turn, can affect organizations’ innovation performance positively and, subsequently, their financial performance. Leadership support of the immediate manager is found to be an important factor that contributes to the respondent’s peer knowledge sharing behavior. The proposed model’s invariance testing between male and female respondents revealed that peer knowledge sharing’s contribution to knowledge management success may be different in the two groups.
Research limitations/implications
This study contributes to extant research on knowledge sharing by specifically focusing on peer knowledge sharing and reinforcing leadership support’s importance on knowledge sharing. The study also highlights the importance of knowledge management success as an important mediator necessary for linking individual knowledge management behaviors, such as peer knowledge sharing, with organizational performance.
Originality/value
Knowledge sharing is a topic of continuing interest for organizational researchers, yet limited empirical research has been conducted that links individual-level, intra-organizational knowledge sharing to organizational performance. This study examines this linkage and provides empirical support for this relationship, while simultaneously pointing to an important type of knowledge sharing that occurs within organizations, referred to as peer knowledge sharing.
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New (post‐1949) Chinese local gazetteers are one of the major primary resources for contemporary China Studies in the field of history, social sciences, humanities and sciences…
Abstract
Purpose
New (post‐1949) Chinese local gazetteers are one of the major primary resources for contemporary China Studies in the field of history, social sciences, humanities and sciences. Major research libraries in North America have collected them; however, the research value of this series of publications has not yet fully explored. This paper aims at examining how new local gazetteers have been compiled, the scope of their content and research value, and how scholars have used them.
Design/methodology/approach
The paper explores the scope and importance of the new Chinese local gazetteers collection through reviewing relevant regulations, policies and guidelines regarding compilation of the new local gazetteers, and randomly examining over 30 provincial, city and county gazetteers.
Findings
The paper provides a detailed account of publishing history of this collection; rich and unique research information available; and approaches to collection development, including utilizing digitized gazetteers by Chinese governments.
Originality/value
The paper explores the development of new Chinese local gazetteers in a more systematic way and adds to the current literature on the unique research value this collection has to offer.
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Junsheng Zhang, Yunchuan Sun and Changqing Yao
This paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service…
Abstract
Purpose
This paper aims to semantically linking scientific research events implied by scientific and technical literature to support information analysis and information service applications. Literature research is an important method to acquire scientific and technical information which is important for research, development and innovation of science and technology. It is difficult but urgently required to acquire accurate, timely, rapid, short and comprehensive information from the large-scale and fast-growing literature, especially in the big data era. Existing literature-based information retrieval systems focus on basic data organization, and they are far from meeting the needs of information analytics. It becomes urgent to organize and analyze scientific research events related to scientific and technical literature for forecasting development trend of science and technology.
Design/methodology/approach
Scientific literature such as a paper or a patent is represented as a scientific research event, which contains elements including when, where, who, what, how and why. Metadata of literature is used to formulate scientific research events that are implied in introduction and related work sections of literature. Named entities and research objects such as methods, materials and algorithms can be extracted from texts of literature by using text analysis. The authors semantically link scientific research events, entities and objects, and then, they construct the event space for supporting scientific and technical information analysis.
Findings
This paper represents scientific literature as events, which are coarse-grained units comparing with entities and relations in current information organizations. Events and semantic relations among them together formulate a semantic link network, which could support event-centric information browsing, search and recommendation.
Research limitations/implications
The proposed model is a theoretical model, and it needs to verify the efficiency in further experimental application research. The evaluation and applications of semantic link network of scientific research events are further research issues.
Originality/value
This paper regards scientific literature as scientific research events and proposes an approach to semantically link events into a network with multiple-typed entities and relations. According to the needs of scientific and technical information analysis, scientific research events are organized into event cubes which are distributed in a three-dimensioned space for easy-to-understand and information visualization.
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Priyanka Kumari Bhansali, Dilendra Hiran, Hemant Kothari and Kamal Gulati
The purpose of this paper Computing is a recent emerging cloud model that affords clients limitless facilities, lowers the rate of customer storing and computation and progresses…
Abstract
Purpose
The purpose of this paper Computing is a recent emerging cloud model that affords clients limitless facilities, lowers the rate of customer storing and computation and progresses the ease of use, leading to a surge in the number of enterprises and individuals storing data in the cloud. Cloud services are used by various organizations (education, medical and commercial) to store their data. In the health-care industry, for example, patient medical data is outsourced to a cloud server. Instead of relying onmedical service providers, clients can access theirmedical data over the cloud.
Design/methodology/approach
This section explains the proposed cloud-based health-care system for secure data storage and access control called hash-based ciphertext policy attribute-based encryption with signature (hCP-ABES). It provides access control with finer granularity, security, authentication and user confidentiality of medical data. It enhances ciphertext-policy attribute-based encryption (CP-ABE) with hashing, encryption and signature. The proposed architecture includes protection mechanisms to guarantee that health-care and medical information can be securely exchanged between health systems via the cloud. Figure 2 depicts the proposed work's architectural design.
Findings
For health-care-related applications, safe contact with common documents hosted on a cloud server is becoming increasingly important. However, there are numerous constraints to designing an effective and safe data access method, including cloud server performance, a high number of data users and various security requirements. This work adds hashing and signature to the classic CP-ABE technique. It protects the confidentiality of health-care data while also allowing for fine-grained access control. According to an analysis of security needs, this work fulfills the privacy and integrity of health information using federated learning.
Originality/value
The Internet of Things (IoT) technology and smart diagnostic implants have enhanced health-care systems by allowing for remote access and screening of patients’ health issues at any time and from any location. Medical IoT devices monitor patients’ health status and combine this information into medical records, which are then transferred to the cloud and viewed by health providers for decision-making. However, when it comes to information transfer, the security and secrecy of electronic health records become a major concern. This work offers effective data storage and access control for a smart healthcare system to protect confidentiality. CP-ABE ensures data confidentiality and also allows control on data access at a finer level. Furthermore, it allows owners to set up a dynamic patients health data sharing policy under the cloud layer. hCP-ABES proposed fine-grained data access, security, authentication and user privacy of medical data. This paper enhances CP-ABE with hashing, encryption and signature. The proposed method has been evaluated, and the results signify that the proposed hCP-ABES is feasible compared to other access control schemes using federated learning.
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Hemalatha J., Anjel Raj Y., Panboli S. and Aravindh Kumaran L.
The purpose of this study is to identify and validate the key consumer-related factors influencing consumer attitude toward electric vehicles (EVs) and intention to purchase EVs…
Abstract
Purpose
The purpose of this study is to identify and validate the key consumer-related factors influencing consumer attitude toward electric vehicles (EVs) and intention to purchase EVs. The role of consumer attitude in mediating consumer-related factors and intention to buy is also explored in this study. Consumer-related factors considered in this study include environmental orientation (EO), new technology orientation (NTO), social orientation (SO) and perceived monetary benefits (PMB).
Design/methodology/approach
Data for the study were collected from individuals who do not own an EV in Chennai, Tamil Nadu, India. Data were collected from 388 respondents using Google Forms. Convenience sampling technique was used to identify the respondents. Both descriptive and inferential statistics techniques were used to analyze data collected.
Findings
The study identified EO, SO and PMB as antecedents of attitude (ATT) toward EV and NTO, SO and PMB as potential drivers of EV purchase intention (PI). In addition, the authors also observe that EO is fully mediated by ATT toward consumer PI, whereas ATT partially mediates the relationship between the independent variables SO and PMB and the dependent variable PI.
Practical implications
EVs are at the forefront of automotive innovation. Automobile industries producing EVs showcase a commitment to embracing cutting-edge technology, positioning their companies as forward-thinking and technologically advanced. Creating awareness about EV technology, dispelling myths about range anxiety and charging times should be done methodologically. The lower operating costs of EVs and the government policies that reduce the total cost of ownership can lead to faster market penetration. The widespread adoption of EVs can contribute to a nation’s economic growth by adding new businesses in the industry, infrastructure development and job creation.
Social implications
The reduced environmental impact of EVs, such as improved air quality and reduced greenhouse gas emissions, can lead to significant societal benefits in terms of better human health and mitigating the effects of climate change. Governments can leverage these benefits to achieve climate targets and improve public health.
Originality/value
Studies about EV diffusion and adoption in India are yet to gain momentum considering the slow penetration of EVs in the Indian automobile market. The Indian Government is enforcing policies and incentives to accelerate the adoption of EVs. However, without understanding the drivers of consumer EV adoption, it is difficult for policymakers to accelerate the growth of the EV market. The present study is one step toward understanding the same in its original sense.
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Scarlat Emil and Virginia Mărăcine
The purpose of this paper is to discuss how tacit and explicit knowledge determine grey knowledge and how these are stimulated through interactions within networks, forming the…
Abstract
Purpose
The purpose of this paper is to discuss how tacit and explicit knowledge determine grey knowledge and how these are stimulated through interactions within networks, forming the grey hybrid intelligent systems (HISs). The feedback processes and mechanisms between internal and external knowledge determine the apparition of grey knowledge into an intelligent system (IS). The extension of ISs is determined by the ubiquity of the internet but, in our framework, the grey knowledge flows assure the viability and effectiveness of these systems.
Design/methodology/approach
Some characteristics of the Hybrid Intelligent Knowledge Systems are put forward along with a series of models of hybrid computational intelligence architectures. More, relevant examples from the literature related to the hybrid systems architectures are presented, underlying their main advantages and disadvantages.
Findings
Due to the lack of a common framework it remains often difficult to compare the various HISs conceptually and evaluate their performance comparatively. Different applications in different areas are needed for establishing the best combinations between models that are designed using grey, fuzzy, neural network, genetic, evolutionist and other methods. But all these systems are knowledge dependent, the main flow that is used in all parts of every kind of system being the knowledge. Grey knowledge is an important part of the real systems and the study of its proprieties using the methods and techniques of grey system theory remains an important direction of the researches.
Originality/value
The paper discusses the differences among the three types of knowledge and how they and the grey systems theory can be used in different hybrid architectures.
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Xin Wang, Xiaoling Xu, Zuowan Zhou and Jihua Gou
This paper aims to exploit shape memory polymer (SMP) composite as multifunctional coatings for protecting substrates from surface wear and bacterial. The efficiency of added nano…
Abstract
Purpose
This paper aims to exploit shape memory polymer (SMP) composite as multifunctional coatings for protecting substrates from surface wear and bacterial. The efficiency of added nano or micro-sized particles in enhancing the properties of SMP was investigated. This study also attempts to use a low-cost and effective spraying approach to fabricate the coatings. The coatings are expected to have good conformability with the substrate and deliver multi-functional performance, such as wrinkle free, wear resistance, thermal stability and antimicrobial property.
Design/methodology/approach
High-performance SMP composite coatings or thin films were fabricated by a home-made continuous spray-deposition system. The morphologies of the coatings were studied using the scanning electron microscope and the transmission electron microscope. The abrasion properties were evaluated by Taber Abraser test, and thermo-gravimetric analysis was carried out to investigate the thermal properties of prepared composites. The antimicrobial property was determined by the inhibition zone method using E. coli. The thermally responsive shape memory effect of the resulting composites was also characterized.
Findings
The morphology analysis indicated that the nanoclay was distributed on the surface of the coating which resulted in a significant improvement of the wear property. The wear resistance of the coatings with nanoclay was improved as much as 40 per cent compared with that of the control sample. The thermo-gravimetric analysis revealed that the weight loss rate of composites with nanoclay was dropped over 40 per cent. The SMP coating with zinc oxide (ZnO) showed excellent antimicrobial effect. The shape recovery effect of SMP/nanoclay and SMP/ZnO composites can be triggered by external heating and the composites can reach a full shape recovery within 60 s.
Research limitations/implications
This study proposed a continuous spray-deposition fabrication of SMP composite coatings, which provides a new avenue to prepare novel multi-functional coatings with low cost.
Originality/value
Most studies have emphasized on the sole property of SMP composites. Herein, a novel SMP composite coating which could deliver multi-functionality such as wrinkle free, wear resistance, thermal stability and antimicrobial property was proposed.
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Wenhao Chen, Kin Keung Lai and Yi Cai
Sina Weibo and Twitter are the top microblogging platforms with billions of users. Accordingly, these two platforms could be used to understand the public mood. In this paper, the…
Abstract
Purpose
Sina Weibo and Twitter are the top microblogging platforms with billions of users. Accordingly, these two platforms could be used to understand the public mood. In this paper, the authors want to discuss how to generate and compare the public mood on Sina Weibo and Twitter. The predictive power of the public mood toward commodity markets is discussed, and the authors want to solve the problem that how to choose between Sina Weibo and Twitter when predicting crude oil prices.
Design/methodology/approach
An enhanced latent Dirichlet allocation model considering term weights is implemented to generate topics from Sina Weibo and Twitter. Granger causality test and a long short-term memory neural network model are used to demonstrate that the public mood on Sina Weibo and Twitter is correlated with commodity contracts.
Findings
By comparing the topics and the public mood on Sina Weibo and Twitter, the authors find significant differences in user behavior on these two websites. Besides, the authors demonstrate that public mood on Sina Weibo and Twitter is correlated with crude oil contract prices in Shanghai International Energy Exchange and New York Mercantile Exchange, respectively.
Originality/value
Two sentiment analysis methods for Chinese (Sina Weibo) and English (Twitter) posts are introduced, which can be reused for other semantic analysis tasks. Besides, the authors present a prediction model for the practical participants in the commodity markets and introduce a method to choose between Sina Weibo and Twitter for certain prediction tasks.