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The purpose of this paper is to improve the online monitoring level of low-frequency oscillation in the power system. A modal identification method of discrete Fourier transform (DFT) curve fitting based on ambient data is proposed in this study.

An autoregressive moving average mathematical model of ambient data was established, parameters of low-frequency oscillation were designed and parameters of low-frequency oscillation were estimated via DFT curve fitting. The variational modal decomposition method is used to filter direct current components in ambient data signals to improve the accuracy of identification. Simulation phasor measurement unit data and measured data of the power grid proved the correctness of this method.

Compared with the modified extended Yule-Walker method, the proposed approach demonstrates the advantages of fast calculation speed and high accuracy.

Modal identification method of low-frequency oscillation based on ambient data demonstrated high precision and short running time for small interference patterns. This study provides a new research idea for low-frequency oscillation analysis and early warning of power systems.

This paper aims to identify and explore the overall frequency and characteristics of policy conflicts, with a focus upon those factors affecting conflict resolutions in South Korea.

The study uses data from cases of conflict from the Korean Public Policy Conflict Database (KPPCDB) (1948-2014). For the analysis of data, chi-squared test and multinomial logistic regression are used.

The findings show a total of 2,030 policy conflicts in 1948-2014, most of which were conflicts of interest (47.9 per cent). More than 70 per cent (71.2 per cent) were policy conflicts between the government and the private sector; the field with the most policy conflicts was regional development (21.0 per cent), and 84.1 per cent of all policy conflicts were resolved. The factors that affected conflict resolution by interest were conflicts between the government and private sector, authoritarian government, national regions and capital areas.

This paper suggests reforming the current procedures of conflict management, adopting alternative dispute resolutions, and developing a social-consensus-building process for efficiently resolving conflicts.

This study built a database (KPPCDB) examining 66 years of conflict cases that took place between 1948, the year the Korean Government was established, and 2014. This database covers all cases of policy conflicts that occurred in Korea and provides a comprehensive understanding of the phenomena of policy conflicts and conflict resolution.

Although Korean sociology of sport is relatively unknown to the international community of scholars, it is a mature field in Korea. Sociology of sport was first introduced in Korea in the mid-1960s when the field first evolved in North America and Europe. However, the development of the field shows different aspects from its Western counterpart due to unique cultural and environmental factors both in academia and in society. There are three major research trends that form Korean sociology of sport. First, there is the research focus on the benefit of sport and physical activity by examining empirical data using quantitative methodologies. The second group of researchers pays attention to individual experience in diverse sport fields and utilize qualitative methodologies to investigate empirical or secondary data. The third and most recent trend is a critical approach that theoretically analyzes ideologies, power relations, and identity politics in sport and society. When looking at the future, there are problems and limitations within the field in Korea. These include lack of continuity in terms of conference sub-themes, over-production of doctoral degree graduates, conservatism rooted in the field, and a danger of regarding sport policy research as an exit for sport sociologists. However, there are also possibilities and reasons for optimism. The biggest possibility for Korean sociology of sport is globalization of the field. Another significant possibility is the need for sport sociologists in planning, developing, and evaluating sport policy. Finally, diversification of the field gives ample opportunities for future research.

This study aims to contribute to the comprehension of managerial implications in all the new convergences fields: bioinformation technology (BIT), nanoinformation technology (NIT), nanobiotechnology (NBT) and bioinformation–nanotechnology (BINT). The phenomenon of convergence that significantly impacted economies and societies in the information technology era has continued to be combined with new technologies such as nanotechnology and biotechnology. Many countries have tried to seize the initiative to strengthen the future competitiveness, and it become increasingly important for roles of companies to expand applications of the new convergence.

From a company-based perspective, the study quantifies leading companies’ degree of influence in each convergence field.

However, the result shows that companies’ influences are not mature enough to transfer the initiatives from both the NBT and BINT convergence fields. In addition, this study presents a perceivable framework for companies/institutions by identifying which technological fields the companies/institutions are influential in and what degrees of technological impact are shaped among them. As a result, this allows companies/institutions to recognize their environments squarely.

This study applied the replacement process that can reinforce the investigation of the extent to which a firm has a significant ability to influence others directly and indirectly. From the methodology perspective, such replacement can intensely display the structure and the extent of competition among firms. Therefore, the results provide an explicit information to understand the overall business situation.

Research paper

The purpose of this study is to investigate multichannel integration of hotels and online travel agencies (OTAs) and to compare consumer behavior between China and Indonesia in the context of online to offline (O2O) commerce. We examine how the services, brand and market share of OTAs influence behavioral intentions in both online and offline channels. SERVQUAL, theory of reasoned action and the halo effect are integrated to develop the research model.

To investigate Chinese and Indonesian customers' experiences and behavioral intention of OTAs and hotels, the customers who booked hotels using OTAs were invited to participate in the questionnaire survey. This study collected 336 and 305 data from China and Indonesia, respectively. A partial least squares structural equation modeling technique was used to test and compare the research hypotheses and model between China and Indonesia.

The results compare the similarities and differences of cross-country customer experiences and behavioral intentions of OTAs and hotels. The effect of website service quality on online satisfaction, the effect of online satisfaction on offline confirmation and the effects of offline confirmation and booking intention on patronage intention are significant and positive in both countries. Website service quality is positively associated with booking intention for Indonesia but not for China. The relationship between perceived size and booking intention is significant for China but not for Indonesia. The findings provide insights into the development of O2O commerce for global markets and multichannel strategies between OTAs and hotels.

With the development of O2O commerce, increasingly more hoteliers are opening up online and offline sales channels by cooperating with OTAs. Although several cross-country studies have investigated consumer behavior or behavioral intentions, behavioral settings are based on online or offline channels rather than the integration of both channels. Although some research has studied the integration or competition of OTAs and hotels, none of these studies have investigated the issues from the perspective of country comparison. This study provides the understanding of how customers in different countries and with different backgrounds react to the same e-commerce development, especially the cooperation of OTA and hotels.

The last few years have witnessed massive artificial intelligence (AI) and gaming adoption that has navigated the emerging markets. Moreover, according to the WOG summit (world government summit report, by Nielsen) 2020 reports, AI with gaming mechanisms are expected to enrich marketing services in the coming future in the emerging markets. Countries such as India, China and South Korea contribute significantly to this area, and recent forecasting allows the need to increase in emerging markets. Similarly, these countries have a maximum number of youth gamers and AI-driven technology adopters. The adoption of AI-driven technologies and amplification of gamification in marketing services are new phenomena. Moreover, gaming and AI dynamics are relatively new in emerging countries and need greater attention. Thus, this book chapter proposes a dyad model that would explain users' and companies' perspectives to understand the role of AI and gamification for the emerging markets. The chapter will explain how AI-driven gamification helps the users of emerging markets. The chapter will also illustrate how companies in emerging markets use AI for gamification. Therefore, the dyad model would also comprehend the gap, opportunities and challenges in this area and the subsequent strategies to help all the stakeholders.

From the perspective of relationship theory, customers tend to build a positive attitude toward a company with a strong connection. While previous tourism and hospitality studies acknowledged the strategic importance of a strong relationship between customers and brands in enhancing company performance probability, the potential benefits derived from mobile commerce experience deserves further investigation. Thus, this study aims to examine how multidimensional relationships between customers and service providers affect brand performance.

Using a sample of food delivery application customers in the USA, the structural equation modeling (SEM)-partial least squares (PLS) path modeling is used to examine the impact of economic exchange, social exchange, mutual-interest and self-interest, on brand equity and loyalty intention.

The PLS-SEM results indicate that customers’ perceived economic exchange, social exchange and mutual interests with food delivery applications influence their perceived equity, which, in turn, enhances their loyalty intention toward brand applications. However, self-interest does not enhance customers’ perceived brand equity.

Accordingly, food delivery service providers must value their relationship with customers to achieve sustainable organizational growth and develop appropriate promotion activities to enhance economic exchange, social exchange and mutual interests.

The current study contributes to the literature by empirically demonstrating the consequences of customer-brand relationships in the emerging service context (i.e. food delivery applications).

This research aims to examine the influence of brand signals (transparency, innovativeness and reputation) on brand trust and price fairness toward organic food restaurant brand.

The empirical data were gathered with the survey instrument from respondents who had previously visited organic food restaurant. The formulated hypotheses were analyzed with structural equation modeling.

The collected data demonstrated the positive effect of brand signals on brand trust and price fairness. Trust in organic food restaurant brand was found to positively impact both price fairness and brand loyalty. Additionally, the results provided evidence of the positive linkage between price fairness and brand loyalty. Among brand signals, brand transparency exerted the greatest impact on brand trust and price fairness. The findings also indicated the significant indirect linkage of brand signals on restaurant brand loyalty through brand trust and price fairness.

Through the lens of signaling theory and equity theory, this study provides novel insights into how brand signals contribute to brand trust, price fairness and organic food restaurant brand loyalty. The managerial implications for implementing brand strategies for organic food restaurants were discussed.

The purpose of this paper is to explore and examine the different word-of-mouth (WOM) acceptance and diffusion in social brand communities according to the level of self-monitoring.

A web-based experimental design was used. The design consisted of three-mixed design of 2 (type of social networking sites) × 2 (type of online brand communities) × 2 (self-monitoring). ANOVA analysis was conducted.

Findings indicate that the differences in acceptance and diffusion of WOM according to online brand community type, and there was a significant three-way interaction effect. Specifically, people who have high propensity to self-monitor showed greater WOM acceptance in a consumer-driven community in either type of social networking sites while people who have low propensity to self-monitor showed greater WOM diffusion in a consumer-driven community only in interest-based social networking sites.

An important implication is that the social networking sites where brand communities can be placed should be chosen with the full consideration of different desires consumers have in terms of their level of self-monitoring to increase WOM effects.

This paper proposes the self-monitoring tendency as the key factor that predicts WOM effects with revealing the optimal combination of types of social networking sites and online brand communities that is most preferable for consumers with different self-monitoring level.

The purpose of this paper is to develop a conceptual model for smartphone brand switching behavior, based on the consumption value theory (functional value, emotional value, social value and epistemic value) and the cognition affect behavior (CAB) model. Two paths – product consumption values and retail service relational benefits – were considered as the cognitive elements to predict brand commitment (affect) and smartphone brand switching behavior. In addition, switching cost was used to measure the moderating effect on the relationship between brand commitment and smartphone brand switching behavior.

This research examined whether product consumption value and cognitive benefits related to retail services will enhance brand commitment and then further decrease smartphone brand switching behavior. Switching cost was predicted as a moderator in the model. An investigation of consumers who own a particular brand of smartphone (e.g. the top five smartphone brands: Samsung, Apple, HTC, Sony and Asus) was conducted, and 565 valid responses were collected for the structural equation modeling analysis.

The results demonstrated that emotional value, social value, epistemic value and confidence benefits increased consumer brand commitment and predicted less smartphone brand switching behavior. In addition, switching cost played a significant moderator role in the relationship between brand commitment and brand switching behavior.

A multiple cognitive paths design, with a consumption values aspect and a relational benefits aspect, can elaborate consumer perceptions of product values and service benefits simultaneously, which can lead to a better understanding of the whole picture of the brand services and the key reasons why consumers commit to a brand. Administrators of brand vendors are suggested to improve product innovation and the professionalism of sales services in order to facilitate consumer consumption values, increase their degree of confidence in members of sales staff and, in the meantime, help these administrators gain an understanding of the real reasons for brand switching so as to provide solutions leading to the maintenance of consumer brand commitment through products or services. This is, in turn, likely to increase continued usage intention and reduce the possibility of brand switching.

This study extended the consumption value theory and the CAB model to show that product consumption value and cognitive benefits related to retail services can enhance brand commitment and further decrease smartphone brand switching behavior. The results indicated that brand retailer managers should regularly conduct activities to connect with their customers to induce consumption values and relational benefits and, consequently, increase brand commitment and prevent customer switching behavior.