Trust Value Research Articles

Inclusive leadership and team climate: the role of team power distance and trust in leadership

PurposeThe purpose of this paper is to investigate the effect of inclusive leadership on team climate. Drawing on the social exchange theory (SET), this study proposes a theoretical model in which (1) inclusive leadership enhances team climate, (2) the moderating effect of team power distance and trust in leadership in the relationship between inclusive leadership and team climate.Design/methodology/approachA quantitative research method was applied, with a survey of 247 Nigerian employees nested in 59 teams in multiple small manufacturing firms across diverse industries widely distributed into textile, furniture, bakery and palm oil production firms. The partial least square structural equation modelling was used to test the study's proposed hypotheses.FindingsThe results revealed that inclusive leadership has a positive and direct effect on team climate. Also, this study found that (1) team power distance positively influences the relationship between inclusive leadership and team climate; and (2) trust in leadership positively influences the relationship between inclusive leadership and team climate.Research limitations/implicationsThis study affirms the explanatory power of SET to investigate inclusive leadership and team climate at the team level. Also, the study utilised the SET to confirm the significance and value of team power distance and trust in leadership in the relationship between inclusive leadership and team climate at the team level in the Nigerian context.Practical implicationsThe paper examined the relationship between inclusive leadership and team climate with team power distance and trust in leadership as moderators. The findings suggest that inclusive leadership play a paramount role in understanding team climate among small manufacturing firms. Moreover, the findings can be applied in organisations by creating different assessment mechanisms, e.g. webinars and training sessions, to encourage effective inclusive leadership behaviours in fostering a team climate for creativity and innovation.Originality/valueThe main contribution of this current research to knowledge is on the examination of the distinctive leadership style that influences team climate. The study indicates that when team members are allowed to fully contribute to the team, inclusion is promoted among group members, and trust in leadership is strengthened, which increases their perception of team climate within organisations.

Comprehensive Trust based Routing Protocol to Mitigate Black-hole attack in Wireless Sensor Networks

Wireless Sensor Network (WSN) is a collection of sensor nodes, that sense environmental data and send it to the administrator for further processing. Sensor nodes are wireless devices with limited battery and are vulnerable to security attacks such as black hole attack, gray hole attack, sink hole attack etc. Researchers have proposed many security mechanisms to mitigate security attacks. Trust based approaches have gained tremendous interest among researchers to embed security in WSNs. A Trust Based Secure Routing Protocol to mitigate black hole attack is presented in this paper. The protocol computes comprehensive trust value for each node and routes the packets only through the nodes with trust value > 0.5. The results of the proposed protocol are compared with TBSEER [10] protocol. The results show an improvement in Packet Delivery Ratio (PDR), throughput, End to End (EED), routing overhead and energy consumption.

Trust Based Mechanism for Isolation of Malicious Nodes in Internet of Things

The Internet of Things systems are prone to the attacks as they have ad-hoc and limited resource structure. IoT-based systems are utilized for managing a large volume of information and assist in services related to industrial and medical applications. Due to this, the IoT attains becomes a target for a multitude of attackers and adversaries namely occasional hackers, cybercriminals, hacktivists, government, etc. The major goal of potential attackers is to steal the sensitive information such as credit card numbers, location data, credential of financial account and information related to health, by hacking the Internet of Things devices. The version number attack is one of malicious activity of IoT which affect network performance to great extend. The version number attack is triggered by the malicious nodes which can flood unlimited hello packets in the network. The hello flood attack raised situation of denial of service in the network. The trust based mechanism is proposed in this research work in which trust value is assigned to each node based on their activities. The node which is least trusted will be marked as malicious and get isolated from the network. The proposed scheme is implemented in NS2 and results are analyzed in terms of throughput, packetloss, energy consumption and delay.

Pengaruh Konten Iklan Dan Ulasan Terhadap Keputusan Pembelian Di Otobox Indonesia Dengan Kepercayaan Konsumen Sebagai Variabel Intervening

This research was conducted with the aim of identifying how advertising content influences consumer trust. The influence of advertising content on purchasing decisions. The influence of reviews on purchasing decisions. The influence of consumer trust on purchasing decisions. The influence of advertising content on purchasing decisions is mediated by consumer trust and the influence of reviews on purchasing decisions is mediated by consumer trust. The population in this study were all Otobox Indonesia consumers in Semarang, Central Java. The sample in this study was a portion of Otobox Indonesia Semarang consumers taken using a purposive sampling method with a total of 96 consumers. The data analysis technique applied in this research uses quantitative data analysis with the help of the AMOS version 22 application program. The results of the research analysis show that advertising content is proven to have a positive and significant influence on consumer trust values. Reviews are proven to have a positive and significant influence on consumer trust scores. Advertising content is proven to have a positive and significant influence on the value of purchasing decisions. Reviews are proven to have a positive and significant influence on the value of purchasing decisions. Consumer trust has been proven to have a positive and significant influence on the value of purchasing decisions for Otobox Indonesia products. Advertising content that is able to optimally assist producers in introducing products to consumers in a sustainable manner will encourage consumers' sense of trust in the value of responsibility on the part of producers regarding the products they offer. The presence of dominant positive reviews on the products being sold will encourage consumers to have more confidence in the seller's responsible attitude regarding the products they offer.

Factors that affect consumer trust in product quality: a focus on online reviews and shopping platforms

AbstractThe growing popularity of online shopping means that consumers must determine product quality after they make a purchase decision and receive the product, a situation that is directly related to the issue of consumers’ trust toward retailers. This study analyzes the marginal willingness to pay for attributes that influence consumer trust and purchasing decisions regarding products whose quality can only be determined after they are purchased. We select six attributes that influence trust in online shopping: (1) price, (2) number of reviews, (3) “star” rating, (4) review type (i.e., text, picture, and video), (5) length of text reviews, and (6) shopping platform. We conduct a conjoint survey by categorizing brands as famous and nonfamous and analyze the survey data using a multinominal logit model. The results reveal that consumers prefer high star ratings, a large number of reviews, and a trustworthy shopping platform, even if other similar products are less expensive. Additionally, feeling confident about a product’s quality is more difficult for consumers in the case of nonfamous brands, which they have not experienced, compared with famous brands. The findings indicate that when consumers purchase products from nonfamous brands they are willing to pay more for all six attributes. These results can help retailers establish pricing strategies based on the value of trust by considering customer experience.

PENGARUH KEPERCAYAAN, KUALITAS PRODUK, KUALITAS INFORMASI, DAN KEMUDAHAN TRANSAKSI TERHADAP KEPUTUSAN PEMBELIAN PRODUK FASHIONONLINE DI MEDAN MELALUI APLIKASI SHOPEE

This research aims to determine the influence of trust, service quality, information quality and ease of transactions on online fashion product purchasing decisions in Medan via the Shopee application. The population is all students at the Faculty of Economics, Management Study Program, Unika Santo Thomas and the maximum desired sample size is 96 people. Analysis techniques using descriptive analysis and multiple linear regression. The research results show that the variables of trust, service quality, information quality and ease of transactions have a positive influence on purchasing decisions for online fashion products in Medan via the Shopee application. Based on the value = 56.982 > = 2.74, Ho is rejected and H1 is accepted, meaning that trust, product quality, information quality and ease of transactions simultaneously have a positive and significant effect on purchasing decisions. Based on the trust value (5.771 > l (2.060), H0 is rejected and H1 is accepted. This means that trust has a positive and significant effect on purchasing decisions. The value (3.338) of product quality > (2.060) means that H0 is rejected and H1 is accepted. This means that product quality has a positive and significant effect on purchasing decisions. The value of information quality is (4.768) > (2.060), so H0 is rejected and H1 is accepted. This means that the quality of information has a positive and significant effect on product purchasing decisions. The value of ease of transaction is (2.812) > (2.060) then H0 is rejected and H1 is accepted. This means that ease of transaction has a positive and significant effect on purchasing decisions. The coefficient of determination (R Square) = 0.901 means that 90.1% of purchasing decisions can be explained by the variables trust, service quality, information quality and ease of transaction and the rest Another 9.9% can be explained by other factors such as price and promotions, which were not included in the study.

Irregularity Behaviour Detection - Ad-hoc On-Demand Distance Vector Routing Protocol (IBD - AODV): A Novel Method for Determining Unusual Behaviour in Mobile Ad-hoc Networks (MANET)

All the communication in the mobile ad-hoc network (MANET) will depend on the intermediate neighbour nodes or router nodes. Routing protocol is very important in MANET, because all the communication will be done in the MANET depending on the neighbour or intermediate node. If the intermediate node is a malicious node, all the data will be lost or changed by the intermediate or malicious node. Ad-hoc On-demand Distance Vector routing protocol is one of the moderate routing protocol in MANET. The Ad-hoc On-demand Distance Vector Routing protocol does not have any security mechanism. This work is going to find the Irregularity Behaviour Detection (IBD) over the Ad-hoc On-Demand Distance Vector Routing (AODV) protocol. IBD is finding a trusted node by using the trust value (TV) of the node. This TV includes network performance, node energy level, and node position value. IBD-AODV is implemented and tested in the OmNetpp 6.0 simulator.

Trust based Mechanism for Isolation of Malicious Nodes in Internet of Things

The Internet of Things systems are prone to the attacks as they have ad-hoc and limited resource structure. IoT-based systems are utilized for managing a large volume of information and assist in services related to industrial and medical applications. Due to this, the IoT attains becomes a target for a multitude of attackers and adversaries namely occasional hackers, cybercriminals, hacktivists, government, etc. The major goal of potential attackers is to steal the sensitive information such as credit card numbers, location data, credential of financial account and information related to health, by hacking the Internet of Things devices. The version number attack is one of malicious activity of IoT which affect network performance to great extend. The version number attack is triggered by the malicious nodes which can flood unlimited hello packets in the network. The hello flood attack raised situation of denial of service in the network. The trust based mechanism is proposed in this research work in which trust value is assigned to each node based on their activities. The node which is least trusted will be marked as malicious and get isolated from the network. The proposed scheme is implemented in NS2 and results are analyzed in terms of throughput, packetloss, energy consumption and delay.

THE SACRED VALUES OF KERINCI ANCIENT MANUSCRIPTS AND OTHER ANCIENT MANUSCRIPTS IN THE WORLD

The aims of this study are to explore the sacred meanings in the ancient manuscripts of Kerinci preserved by the Kerinci indigenous people and their comparison with other ancient manuscripts in the world. This study uses a qualitative approach, with data collection using a purposive sampling technique on selected informants based on predetermined criteria. The results of this study indicate that the manifestation of the sacred values of the ancient manuscripts of Kerinci does not lie in the physicality of the manuscripts, but is believed by the Kerinci people to be found in the values of protecting or maintaining ancient manuscripts. The Kerinci people view the preservation of ancient manuscripts as sacred because they believe it is obedience to the results of an agreement, continuing the mandate, respecting the ikrar iyo (pledge), a form of obedience to the adjunct directions of the country's leader in this case the Depati, respecting the contents of the manuscript in the form of ancestral teachings and history, and are afraid of being exposed disaster, harm or disaster such as wasting the manuscript as harto pusako as a consequence of the responsibility that has been jointly acknowledged and bound by the iyo pledge. Some contextually sacred reasons have similarities with traditions in other places such as the value of trust, adherence to customary rules, ancestral teachings such as rituals, traditional ceremonies, certain religious teachings and ancestral history, and fear of calamity if ancient manuscripts are wasted.

Assess: anomaly sensitive state estimation with streaming systems

Information and communication technology (ICT) is an increasing part of modern power systems, which are, therefore, recognised as cyber-physical energy system (CPESs). The increase of ICT affects the situational awareness in CPESs, which is traditionally solely based on information about the power system but not about the ICT system. However, CPESs are facing various challenges regarding the integrity, correctness, and availability of process data due to the interconnection with ICT. Examples are stealthy false data injection attack (FDIAs). This paper pursues a holistic approach to describe the quality of process data, which brings together aspects like integrity, correctness, and availability in multivariate trust values. The arising research question this paper deals with is, how multivariate trust in physical measurements in a CPES can be modelled, estimated, and integrated into situational awareness. A proposed framework implements a context-sensitive and multivariate trust model as well as a trust sensitive state estimation. While these two artefacts are already published, the focus of this paper is on the implementation of the framework and the fulfilment of the requirements for timeliness, interoperability, flexibility, and scalability. It is evaluated in three different scenarios with CIGRE and IEEE benchmark grids.

A Cooperative PoW and Incentive Mechanism for Blockchain in Edge Computing

More and more works use blockchain to improve the data security of integrated edge computing and Internet of Things (IoT) system. However, there are some problems of Proof-of-Work (PoW) that hinder the application, such as high energy consumption, low resource utilization efficiency and insufficient incentive. In this paper, we present a cooperative PoW named relay mining based PoW (Relay-PoW) to reduce energy consumption and improve resource utilization efficiency, where the nodes can mine blocks together under the management of edge server. We further propose parallel relay mining method to increase the throughput, where the nodes can mine blocks with multiple heights in a pipeline manner. In addition, we design supervision group mechanism to ensure the security, where the edge server evaluates the trust values of the nodes according to the capability and quality, and eliminates abnormal nodes timely. Finally, we propose a Shapley-based reward allocation strategy (SRAS) to encourage node to participate in Relay-PoW. Experimental results show that Relay-PoW can effectively decrease the energy consumption, improve the throughput and resource utilization efficiency, SRAS can motivate nodes to cooperate, and they all have a better performance than other methods.

A Hierarchical Blockchain-Based Trust Measurement Method for Drone Cluster Nodes

In response to the challenge of low accuracy in node trust evaluation due to the high dynamics of entry and exit of drone cluster nodes, we propose a hierarchical blockchain-based trust measurement method for drone cluster nodes. This method overcomes the difficulties related to trust inheritance for dynamic nodes, trust re-evaluation of dynamic clusters, and integrated trust calculation for drone nodes. By utilizing a multi-layer unmanned cluster blockchain for trusted historical data storage and verification, we achieve scalability in measuring intermittent trust across time intervals, ultimately improving the accuracy of trust measurement for drone cluster nodes. We design a resource-constrained multi-layer unmanned cluster blockchain architecture, optimize the computing power balance within the cluster, and establish a collaborative blockchain mechanism. Additionally, we construct a dynamic evaluation method for trust in drone nodes based on task perception, integrating and calculating the comprehensive trust of drone nodes. This approach addresses trusted sharing and circulation of task data and resolves the non-inheritability of historical data. Experimental simulations conducted using NS3 and MATLAB demonstrate the superior performance of our trust value measurement method for unmanned aerial vehicle cluster nodes in terms of accurate malicious node detection, resilience to trust value fluctuations, and low resource delay retention.

PDTM: A Provenance-Driven dynamic Trust Management model for IoVs

Internet of Vehicles (IoVs) play an essential role in traffic safety and travel efficiency. However, there is still risk where malicious vehicles without validation or evaluation, to tamper with messages and pollute network with compromised information. Upon fruitful computing resource in 6G, this paper proposes a Provenance-Driven dynamic Trust Management (PDTM) model for IoVs. PDTM integrates data provenance into the trust evaluation of vehicles and messages. Different from literature that only evaluates trust through vehicle, the high reliability of Road Side Unit (RSU) is concerned herein. Specifically, the recommendation trust is calculated by RSU, to eliminate false recommendations of malicious vehicles. Considering the dynamic and real-time nature of trust, this paper proposes a global-based threshold update mechanism. The mechanism can dynamically adjust the threshold, according to the trust value of vehicles. Simulation experiments verify the validity of PDTM in the detection rate of malicious vehicles and delivery rate of authentic messages.

Multi-attribute decision-making based on data mining under a dynamic hybrid trust network

The issues arising from the evolution of big data and network environment have rendered the relationship among experts to no longer be an independent multi-attribute group decision-making process. In response, a PROMETHEE multi-attribute decision-making method based on data mining under dynamic hybrid trust network is proposed. This method incorporates evaluation similarity based on degree centrality and expert trust values based on K-hop centrality in the social network to determine the experts’ weights. Furthermore, because the expert weight is somewhat affected by the attribute weight, the public-level attribute weight is obtained through data crawling and TF-IDF technology. The comprehensive attribute weight is acquired through a combination of expert-level attribute weights. Additionally, establishing a minimum adjustment cost model enables experts to follow a dynamic consensus reaching process in a composed hybrid trust network. Finally, to express the evaluation information more accurately in a complex linguistic environment, the probabilistic linguistic PROMETHEE method is introduced and applied to the site selection evaluation of charging and swapping stations. This highlights the feasibility and effectiveness of the proposed method through the comparison of decision-making methods and parameter sensitivity analysis.

CONSUMER BUYING PROCESS FOR COSMETICS – AN ANALYSIS

Investigating consumer buying habits about cosmetic products was the primary goal of this particular study. The country's cosmetics and lifestyle industry has proliferated during the last few years. The factors influencing consumer behaviour include personality, perception, attitude, physical traits, pricing, and others. Consumers in India have seen a considerable increase in their purchasing power and disposable income over the past ten years, resulting in significant growth in this business. We found that various preferences exist among cosmetic consumers and that things like age, gender, and frequency of purchases influence these choices. Strategic marketing campaigns that are specifically aimed at the 25- to 34-year-old group are necessary. According to the study's findings, several factors, such as demographics, preferences for in-person or online shopping, and the interaction of rational and emotional factors, significantly influence people's decisions to buy cosmetics. In addition to considerations of price and brand reputation, environmental conscience is becoming more and more correlated with this decision-making process. The harmonious integration of superior products, public trust, and individual values fosters brand loyalty. Because social media, particularly through influencers, is a major factor in creating consumer attitudes, businesses must use these platforms to create enlightening and honest content for consumers looking to make informed cosmetic purchases. Keywords- Consumer Buying Process, Consumer Buying Model, Brand Image, Cosmetics and Influencing

Trust-wide clinical neuropsychology peer supervision group: A service evaluation

This paper reports an evaluation of a monthly Trust-wide Clinical Neuropsychology peer supervision group set up in 2021 to respond to requests from clinicians for informal case discussions, whilst also providing group supervision for team members undertaking specialist Clinical Neuropsychology training. This evaluation was conducted to review how the group was received by attendees and facilitators, identify improvements, and address barriers to attendance. Group-specific questionnaires were completed by four facilitators and 21 participants. The findings suggested the group met its aims, and is consistent with many of the service and Trust aims and values. The majority of responses suggest the group has several benefits such as facilitating a space for reflection and exploring complex cases collaboratively. Both facilitators and participants felt their clinical practice was enhanced.

Secure and Energy-Based STEERA Routing Protocol for Wireless Sensor Networks

In wireless sensor networks (WSN), the multifunctional low-power sensor nodes are linked to base stations and are highly responsible for sensing various information. However, maintaining the network’s lifespan is a major issue because of limited battery capacity and node failures. Thus, the proposed study introduced a new Scalable Trust-based Energy Efficient Routing Algorithm (STEERA) with Adaptive Grasshopper Algorithm (AGA) to enhance the network lifespan. At first, the trust values (Tv) are generated for each node to eliminate the malicious node with the help of penalty factor and volatilization. To make efficient routing process, the nodes are formed into cluster groups. A suitable cluster head is selected for each cluster to mitigate the energy consumption problem through the AGA approach by optimizing the parameters like Tv, distance and residual energy. Finally, the data packets are effectively transmitted through a multi-hop routing process by selecting an appropriate path and satisfying certain parameters through Fire Hawks Optimization (FHO). To simulate the proposed techniques, NS2 software is employed, and the performance is measured over various metrics like energy consumption, residual energy, the lifespan of a network, packet loss ratio and average end-to-end delay. The performance analysis shows that the proposed protocol design has obtained higher results than conventional routing protocols.

Access Control Strategy for the Internet of Vehicles Based on Blockchain and Edge Computing

Data stored in the Internet of Vehicles (IoV) face problems with ease of tampering, easy disclosure and single access control. Based on this problem, we propose an access control scheme for the IoV based on blockchain, trust values and weighted attribute-based encryption, called the Blockchain Trust and Weighted Attribute-Based Access Control Strategy (BTWACS). First, we utilize both local and global blockchains to jointly maintain the generation, verification and storage of blocks, achieving distributed data storage and ensuring that data cannot arbitrarily be tampered with. Local blockchain mainly uses Road Side Unit (RSU) technology to calculate trust values, while global blockchain is mainly responsible for data storage and access policy selection. Secondly, we design a blockchain-based trust evaluation scheme called Blockchain-Based Trust Evaluation (BBTE). In this evaluation scheme, the trust value of the vehicle node is based on four factors: initial trust, historical experience trust, recommendation trust and RSU observation trust. CRITIC is used to determine the optimal weights of four factors to obtain the trust value. Then, we use the Network Simulator version 3 (NS3) to verify the security and accuracy of BBTE, improving the recognition accuracy and detection rate of malicious vehicle nodes. Finally, by mining the association relationships between attribute permissions among various roles, we construct a hierarchical access control strategy based on weight and trust, and further optimize the access strategy through pruning techniques. The experiment results indicate that this scheme can effectively respond to gray hole attacks, defamation attacks and collusion attacks from other vehicle nodes. This method can effectively reduce the computing and transmission costs of vehicles and meet the access requirements of multiple entities and roles in the IoV.

Security frameworks without the third-party infrastructure in VANETs with detailed security strength and overhead analyses

Two cluster-based security frameworks without a third-party infrastructure in VANETs are proposed and analyzed in this paper. Utilizing some concepts of PCREF [1] with suitable modification reaches our first proposed framework for serving as a benchmark. By further associating trust values with vehicles and taking key updates into account based on the first proposed framework, our second proposed framework is devised and serves as the most recommended framework. Through a theoretical approach, the security strength (regarding confidentiality, data authenticity, data availability, and the expected filtering position of the bogus report) and the overheads of storage, computation, and communication are thoroughly analyzed for both our proposed frameworks. Illustrated by numerical examples, the security strength and overhead are checked in detail for the two proposed frameworks to reach a constructive recommendation.

Assessment of health and safety culture maturity level in the shipping industry in Surabaya

Introduction: OHS culture can contribute to achieving productivity and zero accidents. Without a safety culture in workers, no matter how well the system or structure is designed and how sophisticated the safety devices are, there is no functioning due to the things underlying human behavior. This study aims to evaluate the description of the level of OHS cultural maturity using SCMM (Safety Culture Maturity Model). Method: This study uses a descriptive quantitative design with a cross sectional approach. The population used is all permanent workers of the Commercial Ship Division in the Shipping Industry, numbered 173. The total sample of all workers is 34 people using a non-probability sampling method. The variables of this study were 10 components of SCMM. The instrument used is a questionnaire sheet based on the SCMM (Safety Culture Maturity Model). Result: The results showed that the components of management, commitment and visibility showed a value of 2.82, communication a value of 3.12, productivity versus safety a value of 3.94, learning organization a value of 4.44, safety resources a value of 3.26, participation value of 4.12, shared perceptions about safety score 4.88, trust value 3.88, industrial relations and job satisfaction score 4.38, and training value 3.70. Conclusion: The conclusion in this study shows the level of maturity of OHS culture at the Shipping Industry has a final average score of 3.85 at the level involving. The advice is to increase the level of OHS culture by evaluating the fulfillment of the target of management visits to the field, evaluating OHS media, evaluating the fulfillment of safety patrols or visiting the OHS team to indoor places.