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The purpose of this paper is to identify the success factors for supply chain in Indian small- and medium-scale enterprises (SMEs) and establish a causal relationship among them. In the present scenario, the SMEs are under huge pressure to achieve the supply chain competitive advantage and to improve operation and logistic effectiveness and, at the same time, remain tractable to the demand uncertainty and volatility in the market. To enhance the performance of supply chain in SMEs, the managers need to identify the internal as well as the external factors that affect the supply chain performance of SMEs in India. They need to understand the causal relationship of these factors.

There may be a number of factors that are critical for achieving acceptable supply chain performance, and these factors have been identified by principal component analysis (PCA). In all, 29 factors have been identified by using PCA and the dominating 29 factors are categorized into 6 constructs, and finally, the structural equation modelling (SEM) methodology using the AMOS 4.0 program has been adopted as the primary methodology for this paper to assess the causal relationship among six constructs.

In this paper, the authors analyzed the structural relations among information technology (IT), logistic effectiveness, operational effectiveness, customer relationship, supplier relationship and SCM competitive advantage. Results indicate that IT holds the key to achieve the SCM competitive advantage in SCM practices of SMEs in India.

The proposed models for enabling factors are tested in firms with a limited numbers of factors in highly competitive environment. More factors may be incorporated, which will help for a clear understanding and establishing the causal relationship among the various enabling factors.

Although managers of Indian SMEs are aware of various enabling factors, a systematic approach is required for identifying enabling factors, and as these factors may have complex interrelation between them for analyzing supply chain performance in SMEs, it is essential that such an approach is in place. The paper presented here will help the SMEs managers in identifying the areas in which they need to focus their attention to improve SCM practices. A structural equation modelling is developed to show the complex relationship between the factors that affect the performance. In addition to that, the proposed structural equation model acts as a good guideline to improve the performance of the supply chain in India.

The paper provides a structural equation model to develop a map of the causal relationships and magnitude among identified enabling factors.

The centralized processes of today’s power trading systems are complex and pose a risk of price tampering and hacking. The decentralized and unmodifiable nature of the blockchain technology that has recently been highlighted offers the potential to improve this power trading process. The purpose of this study is to implement a system to apply the blockchain technology to the problem of power trading.

The authors modeled the power trading problem as the interaction between admin, producer and consumer nodes. And a power trading scenario has been created for this model using a blockchain platform called Multichain which is both fast and highly scalable. To verify this scenario, they implemented a trading system using Savoir, a Python-based JsonRPC module.

Experimental results show that all processes, such as blockchain creation, node connectivity, asset issuance and exchange transactions have been correctly handled according to the scenario.

In this study, the authors have proposed and implemented a power trading method that determines price according to the pure market principle and cannot be manipulated or hacked. It is based on the nature of blockchain technology that is decentralized and cannot be tampered.

The weapon system of The Navy is the small quantity producing system on multiple kinds. It is consisted of various equipment and the subordinate parts of those which can repair the damaged part. The operating procedure concerning warship's repair parts managed under these systems is as follows. Firstly, if demand of repair parts occurs from warship which is the operating unit of weapon, then the Fleet(the repair & supply support battalion) is in charge of dealing with these requests. If certain request from warship is beyond the battalion's capability, it is delivered directly to the Logistic Command. In short, the repair and supply support system of repair parts can be described as the multi-level support system. The various theoretical researches on inventory management of Navy's repair parts and simulation study that reflects reality in detail have been carried out simultaneously. However, the majority of existing research has been conducted on aircraft and tank's repairable items, in that, the studies is woefully deficient in the area concerning Navy's inventory management. For that reason, this paper firstly constructs the model of consumable items that is frequently damaged reflecting characteristics of navy's repair parts inventory management using ARENA simulation. After that, this paper is trying to propose methodology to analyze optimal inventory level of each supply unit through OptQuest, the optimization program of ARENA simulation.

The purpose of this paper is to examine the purchase intention in the case of smartphone advertising, which is unlike any other advertising media.

This study examines the characteristics of recent mobile advertisements such as brand attitude and context awareness value, which have not been considered in studies on non-mobile advertisements, to address purchase intention through smartphone advertisements using structural equation modeling.

The results are as follows. Together with entertainment, information, irritation, and personalization in non-mobile advertisements, timing and location in mobile advertisements are the main factors for establishing consumers’ purchase intention. Further, although mobile advertisements’ context awareness value strongly impacts consumers’ advertising attitude and brand attitude, purchase intention receives greater impact from brand attitude than from advertising attitude because the products/services lack feel and touch.

These results imply that contextual advertising and new technology enabling feel and touch for products/services can maximize the effect of mobile advertisements.

This study aims to explore mediational mechanisms and conditions by which empowering leadership leads to positive outcomes at the employee level. Using social identity theory (SIT) as a foundation, the authors present an integrated moderated mediation model to explain the interactive effects of empowering leadership and leaders' prototypicality on employees' work engagement through the mediation of organizational identification (OI).

The research model was tested using multilevel nested data obtained from 634 employees working in 133 departments (teams) in the service sector of Pakistan.

The results reveal that empowering leadership influences work engagement through the mediation of OI. However, leader prototypicality has emerged as an important moderating condition for these relationships because, at a lower level of leader prototypicality, the positive effect of empowering leadership may diminish.

The results of this study suggest that organizations should promote empowering leadership to increase their employees' OI and work engagement. Furthermore, it is suggested that leader prototypicality is important along with empowering leadership to inculcate positive behavior among employees.

This is the first study of its nature, which used SIT to explain the indirect effect of empowering leadership on employees' work engagement via OI. Furthermore, the bounding condition of leader prototypicality is also studied for the first time in the context of the indirect relationship between empowering leadership and employees' work engagement via OI. The authors note that the novel unique findings of this study have the potential to open additional further avenues of research in the field of empowering leadership.

The current golden standard for attention deficit hyperactivity disorder (ADHD) diagnosis is clinical diagnosis based on psychiatric interviews and psychological examinations. This is suboptimal, as clinicians are unable to view potential patients in multiple natural settings – a necessary condition for objective diagnosis. The purpose of this paper is to improve the objective diagnosis of ADHD by analyzing a quantified representation of the actions of potential patients in multiple natural environments.

The authors use both virtual reality (VR) and artificial intelligence (AI) to create an objective ADHD diagnostic test. Diagnostic and statistical manual of mental disorders, 5th Edition (DSM-5) and ADHD Rating Scale are used to create a rule-based system of quantifiable VR-observable actions. As a potential patient completes tasks within multiple VR scenes, certain actions trigger an increase in the severity measure of the corresponding ADHD symptom. The resulting severity measures are input to an AI model, which classifies the potential patient as having ADHD in the form inattention, hyperactivity-impulsivity, combined or neither.

The result of this study shows that VR-observed actions can be extracted as quantified data, and classification of this quantified data achieves near-perfect sensitivity and specificity with a 98.3% accuracy rate on a convolutional neural network model.

To the best of the authors’ knowledge, this is the first study to incorporate VR and AI into an objective DSM-5-based ADHD diagnostic test. By including stimulation to the visual, auditory and equilibrium senses and tracking movement and recording voice, we present a method to further the research of objective ADHD diagnosis.

The purpose of this paper is to identify how adoption drivers change before and after key milestones of ICT product adoption (i.e. critical mass point (CMP) (adoption rate 16 percent), market saturation point (MSP) (50 percent) and new generation release point (NGRP)) based on actual subscriber data of the mobile communications industry that represents the ICT market, so that it has implications for the rejuvenation of ICT product adoption that has rarely been addressed in earlier studies.

This study examined the overall characteristics of ICT product diffusion by tracking the actual patterns of US and Korean mobile market subscribers using the Bass diffusion model.

This study found that innovation effects gain influences on ICT product diffusion after CMP, MSP and NGRP; imitators are becoming innovators by repeated rejuvenation experiences; and cultural differences have significant influences on imitators’ ICT product adoption, but not on innovators.

These findings imply that rejuvenation enabled by technology innovation is a key success strategy to dominate the ICT market where the number of innovators, who have strong desires for new generation products, is constantly growing.

This paper examines whether the successful bid rate of the OnBid public auction, published by Korea Asset Management Corporation, can identify and forecast the Korea business-cycle expansion and contraction regimes characterized by the OECD reference turning points. We use logistic regression and support vector machine in performing the OECD regime classification and predicting three-month-ahead regime. We find that the OnBid auction rate conveys important information for detecting the coincident and future regimes because this information might be closely related to deleveraging regarding default on debt obligations. This finding suggests that corporate managers and investors could use the auction information to gauge the regime position in their decision-making. This research has an academic significance that reveals the relationship between the auction market and the business-cycle regimes.

While the origin of Korean Industrial Relations goes back 150 years when the country opened its seaports to foreign countries, it didn’t emerge as a field of study until 1950s when academics began to write books and papers on the Korean labor movement, labor laws, and labor economics. In this paper, we sketch this history and describe important events and people that contributed to the development of industrial relations in Korea. Korean industrial relations in the early 20th century were significantly distorted by the 35-year-Japanese colonial rule (1910–1945). After regaining its independence, the U.S. backed, growth-oriented, military-based, authoritarian Korean government followed suit and consistently suppressed organized labor until 1987. Finally, the 1987 Great Labor Offensive allowed the labor movement to flourish in a democratized society. Three groups were especially influential in the field of industrial relations in the early 1960s: labor activists, religious leaders, and university faculty. Since then, numerous scholars have published books and papers on Korean industrial relations, whose perspectives, goals, and processes are still being debated and argued. The Korean Industrial Relations Association (KIRA) was formed on March 25, 1990 and many other academic and practitioner associations have also come into being since then. The future of industrial relations as a field of study in Korea does not seem bright, however. Issues regarding organized labor are losing attention because of a steadily shrinking unionization rate, changing societal attitude toward labor unions, and the enactment of new and improved laws and regulations regarding employment relationships more broadly. Thus, we suggest that emerging issues such as contingent workers, works councils and tripartite partnership, conflict management, and human rights will be addressed by the field of industrial relations in Korea only if this field breaks with its traditional focus on union and union–management relations.

This article examines the impact of introducing computer technology in just‐in‐time (JIT) systems. Literature review has generally supported the notion that introducing computers within JIT production systems may enhance productivity. Also, the productivity of a computer integrated manufacturing (CIM) system may be enhanced by integrating it with the just‐in‐time (JIT) production system. This integrated production system is called the computer integrated just‐in‐time (CIJIT) production system. This empirical study provides strong evidence that integration of CIM and JIT can significantly improve a firm′s productivity and competitiveness.