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This paper tries to find the information flow between KOSPI200 Index and KOSPI200 Futures more accurately by considering two models. First, three-stage least-squares regression is used to estimate lead and lag relationships based on the representation of a simultaneous-equations model because futures and cash returns may affect each other contemporaneously. Secondly, a bivariate GARCH model is used because the lead-lag relationships between the two markets should consider not only return itself but also return volatility. The results from the first regression suggest that KOSPI200 futures returns and the index are simultaneously related and that the lead from futures to cash returns extends for about 40 minutes and the lead from cash to futures returns extends for about 30 minutes, which means the lead-lag relationship between the two markets are not unidirectional. I find from the analysis of a bivariate GARCH model that the information flow between the two markets is rather symmetrical when the volatility relationships are also considered, although it seems non-symmetrical when the returns relationships alone are considered. I also find a much stronger dependence in both directions in the volatility of returns between the cash and futures markets than that observed in the returns alone. When I consider intraday volatility as well in the lead-lag relationship between the two markets, KOSPI200 futures markets strongly lead index markets but KOSPI index do not lead futures markets. Evidence also suggests strong intermarket dependences in the conditional volatilities and in the return shocks. So the results have implications for understanding the pattern of information flows between the two markets.

This paper discusses a case of truck sharing as an application of the sharing economy. This case study examines a real mixed feed company with multiple factories. In this company’s operation, bulk trucks located in a factory had not previously been shared for delivery with other factories to their pre-assigned customers of stock farms. Therefore, this paper suggests a new delivery system that facilitates truck-sharing and analyzes its effects on the transport cost and trucks’ CO₂ emissions. To this end, this paper develops vehicle routing models to represent the current delivery practice and the new truck-shared delivery (TSD). In addition, models are developed for a carbon control policy of an emission trading scheme (ETS) and the effects of the ETS on truck-sharing are investigated. Numerical analysis is conducted to identify the effects of the TSD and the carbon control policy and draw practical implications.

This paper investigates a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on bibliometric. JDQSs yearly publications, citations, impact factors, and centrality indices grew up in early 2010s, and diminished in 2020. Keyword network analysis reveals the JDQS's main keywords including behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility, and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. In comparison between number of views and downloads for JDQS articles, we find that recent changes in publisher and editorial and publishing policies have increased visibility of JDQS.

To promote long-term sustainability and improve consumers’ quality of life, marketers can use artificial intelligence (AI) chatbots to initiate conversations about mindful consumption. Although anthropomorphic designs are integral for successful persuasion, there is scant research on how anthropomorphizing chatbots’ internal traits influences consumers. Integrating the Uncanny Valley Effect (UVE) and the Arousal-Biased Competition (ABC) theory, this study aims to investigate how a chatbot with a higher experiential mind shapes attitudes toward mindful consumption messages by examining people’s emotional responses (i.e. eeriness and amazement) and cognitive engagement.

Incorporating real-time interactions with a chatbot, this research adopted an online experiment with a one-factor, two-condition (a higher vs a lower experiential mind) design with eeriness and amazement as parallel mediators, leading to cognitive absorption and, consequently, attitudes toward mindful consumption messages in a serial manner.

This study found that a chatbot with a higher (vs lower) experiential mind simultaneously triggers higher levels of eeriness and amazement, leading to higher cognitive absorption and a more positive message attitude.

This study expands the current anthropomorphism literature by examining the effects of imbuing nonhuman agents with an experiential mind and emphasizing a nuanced view of emotional responses to anthropomorphized chatbots. The findings contribute to establishing a theoretical link between a chatbot’s experiential mind level and persuasion outcomes, offering strategic and ethical insights for anthropomorphized AI use in sustainability marketing.

This paper aims to understand the impact of smart working on employees’ quality of life. The service-dominant logic indicates that key actors, including employees, are resource integrators. This empirical study contributes to the current knowledge of transformative service by expounding on smart working practices and their relationship with self-efficacy and, ultimately, quality of life of employees.

This study contends that smart working enhances employees’ self-efficacy. The current research uses conservation of resources (COR) theory as a basis in hypothesizing that self-efficacy serves as a key resource, which can stimulate workplace creativity, job satisfaction and quality of life. An onsite survey is conducted among employees who have been involved in smart working in the travel agency context.

Smart working has a positive effect on self-efficacy, which positively influences workplace creativity, job satisfaction and quality of life. Workplace creativity enhances job satisfaction but does not influence quality of life. Job satisfaction boosts quality of life, which is important to tourism services and their employees amid various crises.

Consistent with COR theory, the immediate recommendation to managers is to invest in smart working, which can lead to employees’ creativity, job satisfaction and quality of life.

To the best of the authors’ knowledge, this empirical study is the first to assess the viability of smart working in the travel agency context. Smart working offers positive outcomes, such as convenience for employees to work independently, improving workplace creativity, job satisfaction and quality of life. Travel agencies are mainly categorized as small and medium enterprises (SMEs). In the future, SMEs may also introduce smart working that can eventually become their competitive advantage to retain talented employees.

旅行社中的智慧办公与员工的生活质量

本文旨在了解智慧办公对员工的影响.服务主导逻辑表明, 员工等关键人物是资源整合者。本文通过实证研究揭示了智慧办公实践及其与员工自我效能和生活质量的关系, 对现有转型服务知识做出贡献。

本研究认为智慧办公可以提高员工的自我效能。基于资源守恒理论(COR), 本研究假设自我效能是激发职场创造力、工作满意度和生活质量的关键因素, 对旅行社中参与智慧办公的员工进行了现场调查。

智慧办公对自我效能有正向影响, 同时自我效能对职场创造力、工作满意度和生活质量均产生正向影响。职场创造力能够提高工作满意度, 但对员工的生活质量不起作用。另外, 工作满意度有利于提升生活质量, 这对面临各种危机的旅游企业和员工具有重要意义。

根据COR理论, 即刻建议管理者投资推行智慧办公, 从而提升员工的创造力, 工作满意度和生活质量。

这一实证研究首次尝试评估旅行社中推行智慧办公的可行性。智慧办公可带来多种积极效果, 如为员工独立工作提供便利, 提升员工的职场创造力、工作满意度和生活质量等。旅行社属于中小型企业(SMEs)。未来, 中小型企业同样可尝试引入智慧办公, 这将成为其留住优秀员工的竞争优势。

关键词：智慧办公, 公平评估, 自我效能, 创造力, 自主, 生活质量

文章类型： 研究型论文

El trabajo inteligente en las agencias de viajes y la calidad de vida de los empleados

Resumen

Este artículo tiene como objetivo entender el impacto del trabajo inteligente en la calidad de vida de los empleados. Basándose en la lógica de servicio dominante, los actores clave, incluidos los empleados, son integradores de recursos. Este estudio empírico contribuye al conocimiento actual de lo que constituye un servicio transformador al exponer prácticas laborales inteligentes y su relación con la autoeficacia y, en última instancia, la calidad de vida de los empleados.

Este estudio sostiene que el trabajo inteligente mejora la autoeficacia de los empleados. Plantea la hipótesis de que la autoeficacia sirve como un recurso clave que puede estimular la creatividad en el lugar de trabajo, la satisfacción laboral y la calidad de vida utilizando la teoría de la conservación de recursos. Se ha realizado una encuesta in situ entre los empleados que han llevado a cabo trabajo inteligente en el contexto de la agencia de viajes.

El trabajo inteligente tiene un efecto positivo en la autoeficacia que influye positivamente en la creatividad en el lugar de trabajo, la satisfacción laboral y la calidad de vida. La creatividad en el lugar de trabajo mejora la satisfacción laboral, pero no influye en la calidad de vida. La satisfacción laboral mejora la calidad de vida, lo que es importante tanto para los servicios turísticos como para sus empleados durante las crisis.

De acuerdo con la teoría de la conservación de recursos, la recomendación inmediata a los gerentes es invertir en un trabajo inteligente que pueda conducir a la creatividad, la satisfacción laboral y la calidad de vida de los empleados.

Este estudio empírico es el primero del que tengamos constancia en evaluar la viabilidad del trabajo inteligente en el contexto de la agencia de viajes. El trabajo inteligente ofrece beneficios, como la posibilidad de que los empleados trabajen de forma independiente, mejorando así la creatividad profesional, la satisfacción laboral y la calidad de vida. Las agencias de viajes se incluyen principalmente en la categoría de pequeñas y medianas empresas (pymes). En el futuro, las pymes también pueden introducir el trabajo inteligente, que puede llegar a convertirse en su ventaja competitiva para retener a los empleados con talento.

Trabajo inteligente, Equidad en las valoraciones, Autoeficacia, Creatividad, Autonomía, Calidad de vida

The purpose of this paper is to provide an understanding of the country-of-origin (COO) effect on overseas distributors’ behaviour in international marketing channels. Integrating the theory of planned behaviour (TPB) and the concepts of country-induced biases, the current study develops an empirically testable model that explains and predicts overseas distributors’ behaviour in international marketing channels.

Hypotheses were tested using primary data stemmed from a survey of channel relationships between exporters and their overseas distributors. Data were collected from 103 distributors in the USA.

Empirical evidence shows that attitude towards foreign brands, social valuation of the origin of brands, and perceived behavioural control affect overseas distributors’ intention to place foreign brands. In addition, country-induced bias factors – buyer animosity and country-related affect to the origin of manufacture – are considered to be the antecedents of attitude towards foreign brands.

Because this study adopted a cross-sectional design, the limitations of this method can be applied to the study. In addition, because of the research context, the results of the present research may lack generalizability. This manuscript, however, integrated the TPB and the concepts of country-induced biases and addressed the calls for research on the COO effects on overseas distributors’ decision in international marketing channels.

The manuscript suggests that to build positive attitudes towards foreign brands, a firm should focus on promotions through various media in international markets to lower animosity and the perceived risk to the origin of manufacture. In addition, firms with foreign brands need to identify and target a segment that feels comfortable about spending their resources on those brands. Finally, international marketers should focus on creating positive attitudes towards foreign brand goods and proper pricing strategies.

This manuscript fills the knowledge gap of the COO effect on organizational buyer behaviour in international marketing channels.

The existing collaborative filtering algorithm may select an insufficiently representative customer as the neighbor of a target customer, which means that the performance in providing recommendations is not sufficiently accurate. This study aims to investigate the impact on recommendation performance of selecting influential and representative customers.

Some studies have shown that review helpfulness and consistency significantly affect purchase decision-making. Thus, this study focuses on customers who have written helpful and consistent reviews to select influential and representative neighbors. To achieve the purpose of this study, the authors apply a text-mining approach to analyze review helpfulness and consistency. In addition, they evaluate the performance of the proposed methodology using several real-world Amazon review data sets for experimental utility and reliability.

This study is the first to propose a methodology to investigate the effect of review consistency and helpfulness on recommendation performance. The experimental results confirmed that the recommendation performance was excellent when a neighbor was selected who wrote consistent or helpful reviews more than when neighbors were selected for all customers.

This study investigates the effect of review consistency and helpfulness on recommendation performance. Online review can enhance recommendation performance because it reflects the purchasing behavior of customers who consider reviews when purchasing items. The experimental results indicate that review helpfulness and consistency can enhance the performance of personalized recommendation services, increase customer satisfaction and increase confidence in a company.

News algorithms not only help the authors to efficiently navigate the sea of available information, but also frame information in ways that influence public discourse and citizenship. Indeed, the likelihood that readers will be exposed to and read given news articles is structured into news algorithms. Thus, ensuring that news algorithms uphold journalistic values is crucial. In this regard, the purpose of this paper is to quantify journalistic values to make them readable by algorithms through taking an exploratory approach to a question that has not been previously investigated.

The author matched the textual indices (extracted from natural language processing/automated content analysis) with human conceptions of journalistic values (derived from survey analysis) by implementing partial least squares path modeling.

The results suggest that the numbers of words or quotes news articles contain have a strong association with the survey respondent assessments of their balance, diversity, importance and factuality. Linguistic polarization was an inverse indicator of respondents’ perception of balance, diversity and importance. While linguistic intensity was useful for gauging respondents’ perception of sensationalism, it was an ineffective indicator of importance and factuality. The numbers of adverbs and adjectives were useful for estimating respondents’ perceptions of factuality and sensationalism. In addition, the greater numbers of quotes, pair quotes and exclamation/question marks in news headlines were associated with respondents’ perception of lower journalistic values. The author also found that the assessment of journalistic values influences the perception of news credibility.

This study has implications for computational journalism, credibility research and news algorithm development.

It represents the first attempt to quantify human conceptions of journalistic values with textual indices.

Drawing from conservation of resources (COR) and regulatory fit theories, this paper aims to propose and examine moderated mediation model of service innovative behavior among salespeople.

The hypothesized links were gauged based on time-lagged and multiple sources of data collected from salespeople and their supervisors in a large-scale multi-brand retail firm.

The hypothesized relationships were confirmed, and the moderated mediation model proposed in this paper was viable. Results suggest that person–job (P-J) fit boosts salespeople’s service innovative behavior, and intrinsic motivation (INTMOT) mediates this relationship. Promotion focus strengthens the positive influence of P-J fit on salespeople’s INTMOT. More importantly, promotion focus moderates the indirect positive link between P-J fit and service innovative behavior through INTMOT.

This research enhances the current knowledge by assessing promotion focus as a moderator of the impact of P-J fit on service innovative behavior via INTMOT among salespeople. To the best of the authors’ knowledge, there is no established research examining the abovementioned links in the sales literature.

Augmented reality (AR) is increasingly used in cultural heritage tourism sites for the enhancement of the tourist experience. However, behavioral intention to adopt AR is dependent on cultural traits, and close investigation is required on cultural differences. To explore these cultural differences and the effect on AR acceptance in cultural heritage tourism sites, this study aims to focus on the aesthetic and hedonic characteristics of AR applications.

Data were collected in two countries with strong contrasts in Hofstede’s cultural dimensions to explore cultural differences in AR acceptance. In total, 145 questionnaires were collected in Deoksugung Palace, South Korea, and 119 questionnaires were collected in the An Post Museum, Republic of Ireland. Data were analyzed using PLS Graph 3.0.

The findings confirmed that the aesthetics of AR have a strong influence on perceived enjoyment. Furthermore, this study supported the notion that high power distance, collectivism and high uncertainty avoidance culture such as South Korea’s perceives stronger dependence on social influence and the hedonic characteristics of AR.

AR innovation and marketing within the hospitality and tourism industry requires an understanding of cultural differences to ensure successful implementation. In addition, tourism and hospitality managers need to ensure that the needs and requirements of different target markets are met.

This study applied Hofstede’s cultural dimensions to explore the differences between two very distinct countries with regard to AR acceptance. The findings provide important implications for the implementation of tourism AR applications for different countries, especially considering international target markets.